Triple

T16071038
Position Surface form Disambiguated ID Type / Status
Subject Rohtak Junction railway station E389859 entity
Predicate connectedTo P37 FINISHED
Object Sirsa E1197500 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: Sirsa | Statement: [Rohtak Junction railway station, connectedTo, Sirsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sirsa
Context triple: [Rohtak Junction railway station, connectedTo, Sirsa]
  • A. Sirsa chosen
    Sirsa is a city in the Indian state of Haryana, known as a regional commercial and administrative center near the Rajasthan and Punjab borders.
  • B. 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.
  • C. Ambala
    Ambala is a historic city and important military and transportation hub in the northern Indian state of Haryana.
  • D. Kaithal
    Kaithal is a historic town in the Indian state of Haryana, known for its medieval heritage and association with the Delhi Sultanate.
  • E. Indirapuram
    Indirapuram is a prominent residential and commercial suburb in Ghaziabad, Uttar Pradesh, located on the eastern edge of Delhi and known for its high-rise apartments and proximity to the Delhi Metro.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183be909c8190ac6c37ab047151ae completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006796bed4819085d988d7f2d7afcb completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 4:57 a.m.