Triple

T17461525
Position Surface form Disambiguated ID Type / Status
Subject Sirmaur district E425160 entity
Predicate hasTown P847 FINISHED
Object Rajgarh 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: Rajgarh | Statement: [Sirmaur district, hasTown, Rajgarh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rajgarh
Context triple: [Sirmaur district, hasTown, Rajgarh]
  • A. Rajgarh
    Rajgarh is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its agricultural economy and historical temples.
  • B. Rajgarh
    Rajgarh is a town in the Indian state of Rajasthan, known as one of the settlements within the Alwar district.
  • C. Rajgarh chosen
    Rajgarh is a town in the Sirmour district of Himachal Pradesh, India, known for its hilly terrain, orchards, and role as a local administrative and market center.
  • D. Surajgarh
    Surajgarh is a town in the Jhunjhunu district of Rajasthan, India, known for its historic havelis and traditional Rajasthani architecture.
  • E. Ramgarh
    Ramgarh is a town and administrative district headquarters in the Indian state of Jharkhand, known for its coal mining and industrial activities.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451a3c4cc8190937808e3272272c0 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.