Triple

T12058607
Position Surface form Disambiguated ID Type / Status
Subject Kohat Plateau E287106 entity
Predicate namedAfter P63 FINISHED
Object Kohat E55857 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: Kohat | Statement: [Kohat Plateau, namedAfter, Kohat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kohat
Context triple: [Kohat Plateau, namedAfter, Kohat]
  • A. Kohat chosen
    Kohat is a historic city in northwestern Pakistan known for its strategic location, military cantonment, and role as a regional administrative and commercial center.
  • B. Koh
    Koh is a common Chinese surname found among various Chinese communities worldwide, including in Singapore and Malaysia.
  • C. Koh
    Koh is a Korean surname borne by various notable individuals across fields such as law, politics, and the arts.
  • D. Kogarah
    Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
  • E. Koht
    Koht is a Norwegian surname most notably associated with historian and politician Halvdan Koht.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043dbccc8190bf9da181f826f0d8 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a64c8bc8190920c1ed858ea4794 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:47 p.m.