Triple

T11455091
Position Surface form Disambiguated ID Type / Status
Subject Kohat District E271504 entity
Predicate hasMilitaryCantonment P1869 FINISHED
Object Kohat Cantonment E271506 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 Cantonment | Statement: [Kohat District, hasMilitaryCantonment, Kohat Cantonment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kohat Cantonment
Context triple: [Kohat District, hasMilitaryCantonment, Kohat Cantonment]
  • A. Kohat Cantonment chosen
    Kohat Cantonment is a major military garrison area in Kohat, Pakistan, housing army facilities and associated residential and administrative infrastructure.
  • B. Chaklala Cantonment
    Chaklala Cantonment is a major Pakistani military garrison area located in the city of Rawalpindi, adjacent to Islamabad.
  • C. Umballa Cantonment
    Umballa Cantonment was a major British Indian military station and garrison town located at Ambala in present-day Haryana, India.
  • D. Danapur Cantonment
    Danapur Cantonment is a major Indian Army cantonment town located near Patna in the state of Bihar, serving as an important military and administrative center.
  • E. Mangla Cantonment
    Mangla Cantonment is a military garrison town in Pakistan that supports operations and personnel associated with the nearby Mangla Dam and its strategic installations.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c7057688190ad8aa99426e4ca30 completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e903781881908e96c66ecfca2911 completed April 20, 2026, 8:51 a.m.
Created at: April 8, 2026, 9:35 p.m.