Triple

T18749467
Position Surface form Disambiguated ID Type / Status
Subject Palam, Delhi E458488 entity
Predicate hasNearbyFacility P5648 FINISHED
Object Delhi Cantonment NE NERFINISHED

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: Delhi Cantonment | Statement: [Palam, Delhi, hasNearbyFacility, Delhi Cantonment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Delhi Cantonment
Context triple: [Palam, Delhi, hasNearbyFacility, Delhi Cantonment]
  • A. Delhi Cantonment chosen
    Delhi Cantonment is a prominent military area in New Delhi that serves as a major base and administrative center for the Indian Armed Forces.
  • B. Meerut Cantonment
    Meerut Cantonment is a prominent military cantonment area and residential suburb in the city of Meerut, Uttar Pradesh, India.
  • C. Agra Cantonment
    Agra Cantonment is a major Indian Army military station and the primary railway hub of Agra, Uttar Pradesh.
  • D. Ambala Cantonment
    Ambala Cantonment is a prominent military and commercial town in Haryana, India, known for its strategic location and major railway junction.
  • E. Lucknow Cantonment
    Lucknow Cantonment is a prominent military and residential area in Lucknow, Uttar Pradesh, known for its army establishments, orderly infrastructure, and role as a state legislative assembly constituency.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579eb7350819099d7291207781116 completed April 20, 2026, 12:57 a.m.
Created at: April 10, 2026, 11:51 a.m.