Triple

T7225825
Position Surface form Disambiguated ID Type / Status
Subject Army Institute of Law E154775 entity
Predicate formerLocation P1659 FINISHED
Object Ambala Cantonment E449635 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: Ambala Cantonment | Statement: [Army Institute of Law, formerLocation, Ambala Cantonment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ambala Cantonment
Context triple: [Army Institute of Law, formerLocation, Ambala Cantonment]
  • A. Ambala Cantonment chosen
    Ambala Cantonment is a prominent military and commercial town in Haryana, India, known for its strategic location and major railway junction.
  • B. Jhelum Cantonment
    Jhelum Cantonment is a major Pakistani military garrison located near the city of Jhelum in Punjab Province.
  • C. Agra Cantonment
    Agra Cantonment is a major Indian Army military station and the primary railway hub of Agra, Uttar Pradesh.
  • D. Delhi Cantonment
    Delhi Cantonment is a prominent military area in New Delhi that serves as a major base and administrative center for the Indian Armed Forces.
  • E. Jabalpur Cantonment
    Jabalpur Cantonment is a major Indian Army cantonment area located in the city of Jabalpur in central India.
  • 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_69c68811dd1c8190ac460bb39e64e1f0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6e9dc835881909ea646c392a980b6 completed March 27, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d38686ac819098705463a65dec87 completed March 28, 2026, 1:11 p.m.
Created at: March 27, 2026, 2:54 p.m.