Triple

T17867996
Position Surface form Disambiguated ID Type / Status
Subject Kumistavi village E446754 entity
Predicate hasNearbyCity P350 FINISHED
Object Kutaisi NE NERFINISHED

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: Kutaisi | Statement: [Kumistavi village, hasNearbyCity, Kutaisi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kutaisi
Context triple: [Kumistavi village, hasNearbyCity, Kutaisi]
  • A. Kutaisi chosen
    Kutaisi is one of Georgia’s major cities, historically significant and formerly a capital, located in the western part of the country.
  • B. Kuje
    Kuje is a town and local government area located within Nigeria’s Federal Capital Territory, near the capital city of Abuja.
  • C. Rumuokuta
    Rumuokuta is a community located within Obio-Akpor Local Government Area in Rivers State, Nigeria.
  • D. Kihoku
    Kihoku is a town in Mie Prefecture, Japan, known for its coastal scenery and fishing industry along the Kumano Sea.
  • E. Notasulga
    Notasulga is a small town in eastern Alabama known for its rural character and historic Southern setting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa0b69081909fba3b42d237b543 completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:17 a.m.