Triple

T11322167
Position Surface form Disambiguated ID Type / Status
Subject Kalyan E268119 entity
Predicate railwayStationName P8935 FINISHED
Object Kalyan Junction E919099 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: Kalyan Junction | Statement: [Kalyan, railwayStationName, Kalyan Junction]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalyan Junction
Context triple: [Kalyan, railwayStationName, Kalyan Junction]
  • A. Kalyan Junction chosen
    Kalyan Junction is a key railway hub in the Mumbai metropolitan region, serving as a major interchange point for suburban and long-distance trains across multiple routes.
  • B. Ayodhya Junction
    Ayodhya Junction is a major railway station in the city of Ayodhya, Uttar Pradesh, serving as a key rail hub for pilgrims and travelers visiting this important religious and historical center.
  • C. Patna Junction
    Patna Junction is one of the busiest and most important railway stations in eastern India, serving as a key transportation hub for the city of Patna and the surrounding region.
  • D. Banaras railway station
    Banaras railway station is a key rail transport hub serving the city of Varanasi in Uttar Pradesh, India.
  • E. Varanasi Junction
    Varanasi Junction is a major railway station and transportation hub serving the ancient city of Varanasi in Uttar Pradesh, India.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9dff37081909622623e66e17ccd completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58b4ec4ac81908d51e3815a054704 completed April 20, 2026, 2:11 a.m.
Created at: April 8, 2026, 9:32 p.m.