Triple

T18932134
Position Surface form Disambiguated ID Type / Status
Subject Ghaggar River E463138 entity
Predicate flowsNear P350 FINISHED
Object Sirsa 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: Sirsa | Statement: [Ghaggar River, flowsNear, Sirsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sirsa
Context triple: [Ghaggar River, flowsNear, 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 (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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9c0b84881909ad6da9522203df8 completed April 20, 2026, 6:37 a.m.
Created at: April 10, 2026, 11:59 a.m.