Triple

T19363346
Position Surface form Disambiguated ID Type / Status
Subject Khair E484334 entity
Predicate nearestMajorRailhead P44136 FINISHED
Object Aligarh Junction 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: Aligarh Junction | Statement: [Khair, nearestMajorRailhead, Aligarh Junction]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aligarh Junction
Context triple: [Khair, nearestMajorRailhead, Aligarh Junction]
  • A. Aligarh Junction chosen
    Aligarh Junction is a major railway station in Uttar Pradesh, India, serving as a key rail hub connecting Aligarh to numerous cities across the country.
  • B. Farrukhabad Junction
    Farrukhabad Junction is a major railway station and transport hub serving the city of Farrukhabad in Uttar Pradesh, India.
  • C. Lucknow Junction
    Lucknow Junction is a major railway station and transport hub serving the city of Lucknow in the Indian state of Uttar Pradesh.
  • D. Moradabad Junction
    Moradabad Junction is a major railway station and transport hub in Uttar Pradesh, India, serving as a key junction on several important rail routes in northern India.
  • E. Bareilly Junction
    Bareilly Junction is a major railway station in Uttar Pradesh, India, serving as a key transit hub connecting Bareilly to numerous regional and long-distance routes across the country.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619a897008190a2c62a50ca60de2d completed April 20, 2026, 12:18 p.m.
Created at: April 10, 2026, 1:34 p.m.