Triple

T21381406
Position Surface form Disambiguated ID Type / Status
Subject Iravati River E527364 entity
Predicate passesNear P416 FINISHED
Object Pathankot 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: Pathankot | Statement: [Iravati River, passesNear, Pathankot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pathankot
Context triple: [Iravati River, passesNear, 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. Pathankot Airport
    Pathankot Airport is a regional airport in Punjab, India, serving the city of Pathankot and nearby areas with limited commercial and military aviation operations.
  • C. 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.
  • D. Pathankot Junction
    Pathankot Junction is a major railway station and transit hub in Punjab, India, serving as a key gateway to the Himalayan regions of Himachal Pradesh and Jammu & Kashmir.
  • E. Dhaulana
    Dhaulana is a town in the Hapur district of Uttar Pradesh, India, known for its semi-urban character and proximity to the National Capital Region.
  • 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0cec99881908481d0b08df358a8 completed April 22, 2026, 11:28 a.m.
Created at: April 16, 2026, 5:11 p.m.