Triple

T2894862
Position Surface form Disambiguated ID Type / Status
Subject Majha E63912 entity
Predicate containsCity P294 FINISHED
Object Pathankot E95953 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: Pathankot | Statement: [Majha, containsCity, Pathankot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pathankot
Context triple: [Majha, containsCity, Pathankot]
  • A. Pathankot chosen
    Pathankot is a city in the northern Indian state of Punjab, known as a strategic transport hub near the borders of Jammu and Kashmir and Himachal Pradesh.
  • B. Ayodhya Cantt
    Ayodhya Cantt is a major railway station serving the city of Ayodhya in Uttar Pradesh, India, connecting it to key destinations across the country.
  • C. Jammu
    Jammu is a historically significant city and region in northern India, known as the winter capital of Jammu and Kashmir and a former stronghold of Dogra rulers.
  • D. Parachinar
    Parachinar is a major town in northwestern Pakistan near the Afghan border, known as the administrative center of Kurram District and for its strategic and sectarian-sensitive location.
  • E. Fazilka
    Fazilka is a town in the southwestern part of Punjab, India, near the India–Pakistan border, known for its agricultural economy and cultural ties to the Malwa region.
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe06509808190b673222b9ae3d599 completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03184d6fc81908119cf090e312c9e completed March 10, 2026, 2:58 p.m.
Created at: March 6, 2026, 10:07 p.m.