Triple

T16899973
Position Surface form Disambiguated ID Type / Status
Subject Kathua railway station E424408 entity
Predicate locatedIn P40 FINISHED
Object Kathua E424408 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: Kathua | Statement: [Kathua railway station, locatedIn, Kathua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kathua
Context triple: [Kathua railway station, locatedIn, Kathua]
  • A. Kathua chosen
    Kathua is a town and district in the Indian union territory of Jammu and Kashmir, known as a gateway to the region and an important administrative and commercial center.
  • B. Rajauri
    Rajauri is a town and district in the Jammu division of the Indian union territory of Jammu and Kashmir, known for its hilly terrain and strategic location near the Line of Control.
  • C. Poonch
    Poonch is a town in the Jammu and Kashmir region of India, known for its historical forts and scenic mountainous surroundings near the Line of Control.
  • D. Karauli
    Karauli is a historic town and pilgrimage center in the Indian state of Rajasthan, known for its ancient temples and distinctive red sandstone architecture.
  • E. Jhalrapatan
    Jhalrapatan is a historic town in Rajasthan, India, known for its ancient temples and role as an important cultural and religious center in the 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8dbc6e48190be90066b82fc61db completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d45647f481908ae76a0b8fe8a9cb completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:29 a.m.