Triple

T13898154
Position Surface form Disambiguated ID Type / Status
Subject Liguanea E334146 entity
Predicate locatedIn P40 FINISHED
Object Kingston Metropolitan Area E345139 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: Kingston Metropolitan Area | Statement: [Liguanea, locatedIn, Kingston Metropolitan Area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingston Metropolitan Area
Context triple: [Liguanea, locatedIn, Kingston Metropolitan Area]
  • A. Kingston Metropolitan Area chosen
    The Kingston Metropolitan Area is Jamaica’s largest urban and economic center, encompassing the capital city of Kingston and surrounding communities within St. Andrew Parish.
  • B. Kingston
    Kingston is a historic city in New York State known for being one of the state’s early capitals and a key cultural and economic center in the Hudson Valley region.
  • C. Kingston
    Kingston is a town in south-west London, England, known as a major retail and commercial centre on the River Thames.
  • D. Kingston
    Kingston is a village in South Kingstown, Rhode Island, best known as the home of the University of Rhode Island.
  • E. Kingston
    Kingston is the largest city of Jamaica and its political, cultural, and economic center.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de25d8897881908b770cdb565898d4 completed April 14, 2026, 11:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd323e89948190bb280e93e2058c0a completed May 8, 2026, 12:45 a.m.
Created at: April 9, 2026, 10:15 p.m.