Triple

T4958583
Position Surface form Disambiguated ID Type / Status
Subject Ambala district E111346 entity
Predicate militaryInstallation P1869 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: [Ambala district, militaryInstallation, Ambala Cantonment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ambala Cantonment
Context triple: [Ambala district, militaryInstallation, 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. Agra Cantonment
    Agra Cantonment is a major Indian Army military station and the primary railway hub of Agra, Uttar Pradesh.
  • C. 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.
  • D. Jabalpur Cantonment
    Jabalpur Cantonment is a major Indian Army cantonment area located in the city of Jabalpur in central India.
  • E. Chaklala Cantonment
    Chaklala Cantonment is a major Pakistani military garrison area located in the city of Rawalpindi, adjacent to Islamabad.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71d957cc8190b82fdd1ca61924bf completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9244fb008190baee4ade5b00691f completed March 21, 2026, 12:42 p.m.
Created at: March 20, 2026, 1:32 p.m.