Triple

T8615142
Position Surface form Disambiguated ID Type / Status
Subject Khasi Hills E204015 entity
Predicate borderedBy P224 FINISHED
Object Garo Hills E212961 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: Garo Hills | Statement: [Khasi Hills, borderedBy, Garo Hills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garo Hills
Context triple: [Khasi Hills, borderedBy, Garo Hills]
  • A. Garo Hills chosen
    Garo Hills is a scenic, hilly region in western Meghalaya, India, known for its rich biodiversity, dense forests, and the indigenous Garo community.
  • B. Dongan Hills
    Dongan Hills is a residential neighborhood on Staten Island, New York City, known for its suburban character and proximity to the borough’s eastern shoreline.
  • C. Dracut Highlands
    Dracut Highlands is a historically significant neighborhood in Dracut, Massachusetts, known for its long-settled residential character and local heritage.
  • D. Minden Hills
    Minden Hills is a township in Ontario, Canada, that serves as an administrative and service hub within the County of Haliburton.
  • E. French Hill
    French Hill is a residential neighborhood in northern Jerusalem known for its mixed population, proximity to major universities, and strategic location overlooking key routes into the city.
  • 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc47020748819090f658c115c1a7b9 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea91c30ec81908dafc1caf057e41c completed April 2, 2026, 5:36 p.m.
Created at: March 30, 2026, 6:25 p.m.