Triple

T19025516
Position Surface form Disambiguated ID Type / Status
Subject Delhi–Moradabad–Bareilly–Lucknow line E465598 entity
Predicate hasIntermediateCity P24279 FINISHED
Object Shahjahanpur 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: Shahjahanpur | Statement: [Delhi–Moradabad–Bareilly–Lucknow line, hasIntermediateCity, Shahjahanpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shahjahanpur
Context triple: [Delhi–Moradabad–Bareilly–Lucknow line, hasIntermediateCity, Shahjahanpur]
  • A. Shahjahanpur chosen
    Shahjahanpur is a prominent city in the Rohilkhand region of Uttar Pradesh, India, known for its historical significance and regional commercial importance.
  • B. Bulandshahr
    Bulandshahr is a city in the Indian state of Uttar Pradesh known for its historical significance and proximity to Delhi within the broader metropolitan region.
  • C. Jaunpur
    Jaunpur is a historic city in the Indian state of Uttar Pradesh, known for its medieval architecture and cultural heritage.
  • D. Moradabad
    Moradabad is a major city in northern India known for its brass handicraft industry and is located in the state of Uttar Pradesh.
  • E. Farrukhabad
    Farrukhabad is a city and parliamentary constituency in the Indian state of Uttar Pradesh, known historically for its trade and cultural significance.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6e271848190b67ad08af35b6796 completed April 20, 2026, 7:33 a.m.
Created at: April 10, 2026, 12:02 p.m.