Triple

T3096976
Position Surface form Disambiguated ID Type / Status
Subject Angra do Heroísmo E64618 entity
Predicate hasParish P35 FINISHED
Object Sé
Sé is a civil parish that forms part of the historic city of Angra do Heroísmo in the Azores, Portugal.
 E327499 NE FINISHED

How this triple was built (4 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: Sé | Statement: [Angra do Heroísmo, hasParish, Sé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sé
Context triple: [Angra do Heroísmo, hasParish, Sé]
  • A. Sebaste
    Sebaste was an ancient city in the central highlands of Samaria, refounded and expanded by Herod the Great as a major Hellenistic-Roman urban center.
  • B. Segusio
    Segusio was an ancient Roman town in the Alps, strategically located on key transalpine routes in what is now Susa, Italy.
  • C. Diu
    Diu is a coastal town and former Portuguese colonial enclave on India’s western coast, known for its historic fort, churches, and beaches.
  • D. Celeirós
    Celeirós is a civil parish in the municipality of Sabrosa in northern Portugal, known for its traditional Douro wine production and historic rural landscape.
  • E. Temara
    Temara is a coastal city in northwestern Morocco, situated just south of Rabat and known for its beaches and growing residential and industrial areas.
  • 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: Sé
Triple: [Angra do Heroísmo, hasParish, Sé]
Generated description
Sé is a civil parish that forms part of the historic city of Angra do Heroísmo in the Azores, Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sé
Target entity description: Sé is a civil parish that forms part of the historic city of Angra do Heroísmo in the Azores, Portugal.
  • A. Sebaste
    Sebaste was an ancient city in the central highlands of Samaria, refounded and expanded by Herod the Great as a major Hellenistic-Roman urban center.
  • B. Segusio
    Segusio was an ancient Roman town in the Alps, strategically located on key transalpine routes in what is now Susa, Italy.
  • C. Diu
    Diu is a coastal town and former Portuguese colonial enclave on India’s western coast, known for its historic fort, churches, and beaches.
  • D. Celeirós
    Celeirós is a civil parish in the municipality of Sabrosa in northern Portugal, known for its traditional Douro wine production and historic rural landscape.
  • E. Temara
    Temara is a coastal city in northwestern Morocco, situated just south of Rabat and known for its beaches and growing residential and industrial areas.
  • F. None of above. chosen

Provenance (5 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada23cbe3c8190b7ec5cfd464a1ca8 completed March 8, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2037483fc8190b8343faa58fb9893 completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b204a8c5348190a2cb102b08fd6fa5 completed March 12, 2026, 12:11 a.m.
NED2 Entity disambiguation (via description) batch_69b205bdf5c881908bc6ef7c3c30df65 completed March 12, 2026, 12:15 a.m.
Created at: March 8, 2026, 3:03 p.m.