Triple

T14579653
Position Surface form Disambiguated ID Type / Status
Subject Bahadurgarh E342152 entity
Predicate hasBusConnectivity P39381 FINISHED
Object Rohtak E746040 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: Rohtak | Statement: [Bahadurgarh, hasBusConnectivity, Rohtak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rohtak
Context triple: [Bahadurgarh, hasBusConnectivity, Rohtak]
  • A. Rohtak chosen
    Rohtak is a major city in the Indian state of Haryana, known as an educational and administrative center within the National Capital Region.
  • B. Rewari
    Rewari is a historic city in the Indian state of Haryana, located near Delhi and known for its brass industry and strategic position in northern India.
  • C. Ambala
    Ambala is a historic city and important military and transportation hub in the northern Indian state of Haryana.
  • D. Saharanpur
    Saharanpur is a city in the Indian state of Uttar Pradesh known as a commercial and transportation hub, particularly for its wood carving industry and agricultural trade.
  • E. Kaithal
    Kaithal is a historic town in the Indian state of Haryana, known for its medieval heritage and association with the Delhi Sultanate.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f6f78c81908a30ecb4c025299d completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ad03e7881908a783182c6d656b5 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:24 a.m.