Triple

T16300344
Position Surface form Disambiguated ID Type / Status
Subject National Highway N-55 E395766 entity
Predicate connectsCity P4245 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: [National Highway N-55, connectsCity, Kohat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kohat
Context triple: [National Highway N-55, connectsCity, 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. Kohly
    Kohly is a residential neighborhood in the Playa municipality of Havana, Cuba, known for its quiet streets and proximity to major city avenues.
  • E. Kogarah
    Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e31c9e8819094593f3aeb44f2ca completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9fb2908190a8521b1ccf49170a completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.