Triple

T3932124
Position Surface form Disambiguated ID Type / Status
Subject Santa Isabel E90817 entity
Predicate formerColonialName P6768 FINISHED
Object Santa Isabel de Fernando Poo
Santa Isabel de Fernando Poo was the former colonial name of the city now known as Malabo, the capital of Equatorial Guinea on the island of Bioko.
E399572 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Santa Isabel de Fernando Poo | Statement: [Santa Isabel, formerColonialName, Santa Isabel de Fernando Poo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Isabel de Fernando Poo
Context triple: [Santa Isabel, formerColonialName, Santa Isabel de Fernando Poo]
  • A. San-Pédro
    San-Pédro is a major port city in southwestern Côte d'Ivoire, known especially for its role in the export of cocoa and other goods.
  • B. Santa Cruz das Flores
    Santa Cruz das Flores is the main town and administrative center of Flores Island in Portugal’s Azores archipelago.
  • C. Praia
    Praia is the capital and largest city of Cape Verde, located on the southern coast of Santiago Island in the central Atlantic Ocean.
  • D. Santa Cruz da Graciosa
    Santa Cruz da Graciosa is the main town and administrative center of Graciosa Island in Portugal’s Azores archipelago.
  • E. Peniche
    Peniche is a coastal Portuguese city renowned for its fishing harbor, historic fortifications, and world-class surfing beaches like Supertubos.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Santa Isabel de Fernando Poo
Triple: [Santa Isabel, formerColonialName, Santa Isabel de Fernando Poo]
Generated description
Santa Isabel de Fernando Poo was the former colonial name of the city now known as Malabo, the capital of Equatorial Guinea on the island of Bioko.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Santa Isabel de Fernando Poo
Target entity description: Santa Isabel de Fernando Poo was the former colonial name of the city now known as Malabo, the capital of Equatorial Guinea on the island of Bioko.
  • A. San-Pédro
    San-Pédro is a major port city in southwestern Côte d'Ivoire, known especially for its role in the export of cocoa and other goods.
  • B. Santa Cruz das Flores
    Santa Cruz das Flores is the main town and administrative center of Flores Island in Portugal’s Azores archipelago.
  • C. Praia
    Praia is the capital and largest city of Cape Verde, located on the southern coast of Santiago Island in the central Atlantic Ocean.
  • D. Santa Cruz da Graciosa
    Santa Cruz da Graciosa is the main town and administrative center of Graciosa Island in Portugal’s Azores archipelago.
  • E. Peniche
    Peniche is a coastal Portuguese city renowned for its fishing harbor, historic fortifications, and world-class surfing beaches like Supertubos.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerColonialName
Context triple: [Santa Isabel, formerColonialName, Santa Isabel de Fernando Poo]
  • A. formerColonyName chosen
    Indicates that one entity is the historical or previous name used for a colony that later changed its political status or designation.
  • B. colonialNameUsedBy
    Indicates that a colonial-era name for a place, group, or entity is used or applied by a particular agent or source.
  • C. hasColonialName
    Indicates that an entity is known by, or has been assigned, a name originating from a colonial power or colonial period.
  • D. formerColonialEntity
    Indicates that one entity was previously a colony or colonial possession of another entity.
  • E. isColonialFoundationOf
    Indicates that one entity was established as a colony that later developed into or served as the origin of the other entity.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedaaf3c881909539831bf3a8bf10 completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b52887d4a48190b51df3f51ff197c0 completed March 14, 2026, 9:21 a.m.
NEDg Description generation batch_69b529a1486881908ff348558199232b completed March 14, 2026, 9:25 a.m.
NED2 Entity disambiguation (via description) batch_69b52a43c6f081908366d9848728f98a completed March 14, 2026, 9:28 a.m.
PD Predicate disambiguation batch_69aee7625ad4819097e4e8a168c19274 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:23 p.m.