Triple

T18416926
Position Surface form Disambiguated ID Type / Status
Subject Litoral Province E441916 entity
Predicate containsSettlement P847 FINISHED
Object Kogo E755892 NE FINISHED

How this triple was built (2 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 Province, containsSettlement, Kogo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kogo
Context triple: [Litoral Province, containsSettlement, Kogo]
  • A. Kogo chosen
    Kogo is a settlement located in the Litoral region of Equatorial Guinea.
  • B. Koho
    Koho is an Austroasiatic language spoken by the Koho ethnic group in Vietnam’s Central Highlands.
  • C. Kuo
    Kuo is a Wade–Giles romanization of the Chinese surname and name more commonly spelled "Guo" in pinyin.
  • D. Kisko
    Kisko is a former municipality in southwestern Finland that is now part of the town of Salo.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a284b608190b77c360a72aceb7a completed April 19, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03e24f407c8190899de1640277fcc8 completed May 13, 2026, 2:30 a.m.
Created at: April 10, 2026, 10:47 a.m.