Triple

T8746760
Position Surface form Disambiguated ID Type / Status
Subject Litoral E207848 entity
Predicate hasSettlement P1068 FINISHED
Object Kogo
Kogo is a settlement located in the Litoral region of Equatorial Guinea.
E755892 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: Kogo | Statement: [Litoral, hasSettlement, Kogo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kogo
Context triple: [Litoral, hasSettlement, Kogo]
  • A. Kuo
    Kuo is a Wade–Giles romanization of the Chinese surname and name more commonly spelled "Guo" in pinyin.
  • B. Kisko
    Kisko is a former municipality in southwestern Finland that is now part of the town of Salo.
  • C. Guisa
    Guisa is a municipality and town located in Cuba’s eastern Granma Province, known for its rural character and historical significance in the Cuban Revolution.
  • D. Baol
    Baol was a precolonial Wolof kingdom in what is now Senegal, known for succeeding the Wolof Empire as a regional political and economic power.
  • E. Kugu
    Kugu is an Aboriginal Australian language group traditionally associated with the Aurukun region of western Cape York Peninsula in Queensland.
  • 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: Kogo
Triple: [Litoral, hasSettlement, Kogo]
Generated description
Kogo is a settlement located in the Litoral region of Equatorial Guinea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kogo
Target entity description: Kogo is a settlement located in the Litoral region of Equatorial Guinea.
  • A. Kuo
    Kuo is a Wade–Giles romanization of the Chinese surname and name more commonly spelled "Guo" in pinyin.
  • B. Kisko
    Kisko is a former municipality in southwestern Finland that is now part of the town of Salo.
  • C. Guisa
    Guisa is a municipality and town located in Cuba’s eastern Granma Province, known for its rural character and historical significance in the Cuban Revolution.
  • D. Baol
    Baol was a precolonial Wolof kingdom in what is now Senegal, known for succeeding the Wolof Empire as a regional political and economic power.
  • E. Kugu
    Kugu is an Aboriginal Australian language group traditionally associated with the Aurukun region of western Cape York Peninsula in Queensland.
  • 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_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d75e7c88190a9e78fadb979e1b6 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf4313630881909b946cb8a2bdf793 completed April 3, 2026, 4:33 a.m.
NEDg Description generation batch_69cf4462da648190a621397fa88dd4bd completed April 3, 2026, 4:38 a.m.
NED2 Entity disambiguation (via description) batch_69cf453fa3e4819082466c59649c2f35 completed April 3, 2026, 4:42 a.m.
Created at: March 30, 2026, 6:39 p.m.