Triple

T19896499
Position Surface form Disambiguated ID Type / Status
Subject Basohli E478164 entity
Predicate hasNearbyCity P350 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: [Basohli, hasNearbyCity, Pathankot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pathankot
Context triple: [Basohli, hasNearbyCity, 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. Phagwara
    Phagwara is a prominent industrial and commercial city in the Indian state of Punjab, known for its textile and agricultural machinery industries and its location on the major highway between Ludhiana and Jalandhar.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6593dba78819082c8b80e65246171 completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.