Triple

T14577171
Position Surface form Disambiguated ID Type / Status
Subject Rajrappa Temple E342081 entity
Predicate nearbyCity P350 FINISHED
Object Ramgarh E322717 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: Ramgarh | Statement: [Rajrappa Temple, nearbyCity, Ramgarh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramgarh
Context triple: [Rajrappa Temple, nearbyCity, Ramgarh]
  • A. Ramgarh chosen
    Ramgarh is a town and administrative district headquarters in the Indian state of Jharkhand, known for its coal mining and industrial activities.
  • B. Ramgarh
    Ramgarh is a town in the Alwar district of Rajasthan, India, known for its historic forts, temples, and traditional Rajasthani culture.
  • C. Rajgarh
    Rajgarh is a town in the Indian state of Rajasthan, known as one of the settlements within the Alwar district.
  • D. Rajgarh
    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.
  • E. 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.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f5ec448190b2ef887fdf7b633e completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ace7da48190880a736ead5c4055 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:24 a.m.