Triple

T4524017
Position Surface form Disambiguated ID Type / Status
Subject Ambala Cantonment railway station E103332 entity
Predicate connectsTo P845 FINISHED
Object Amritsar E23792 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: Amritsar | Statement: [Ambala Cantonment railway station, connectsTo, Amritsar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amritsar
Context triple: [Ambala Cantonment railway station, connectsTo, Amritsar]
  • A. Amritsar chosen
    Amritsar is a historic city in the Indian state of Punjab, renowned as the spiritual center of Sikhism and home to the Golden Temple.
  • B. Jalandhar
    Jalandhar is a major city in the Indian state of Punjab, known as an important commercial and cultural center, particularly famous for its sports goods and manufacturing industries.
  • C. Nawanshahr
    Nawanshahr is a town and district headquarters in the Doaba region of Punjab, India, known for its agricultural base and significant Punjabi diaspora.
  • D. Patiala
    Patiala is a historic city in the Indian state of Punjab, known for its royal heritage, distinctive architecture, and cultural contributions such as the Patiala peg and Patiala salwar.
  • E. Kapurthala
    Kapurthala is a historic city in the Indian state of Punjab, noted for its distinctive Indo-French architectural heritage and former princely-state status.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5773341c8190bf27745feb863575 completed March 20, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda440e104819095d84fcd183c7a44 completed March 20, 2026, 7:47 p.m.
Created at: March 20, 2026, 1:03 p.m.