Triple

T10191896
Position Surface form Disambiguated ID Type / Status
Subject Dholpur E238055 entity
Predicate formerName P65 FINISHED
Object Dhaulpur E238055 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: Dhaulpur | Statement: [Dholpur, formerName, Dhaulpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dhaulpur
Context triple: [Dholpur, formerName, Dhaulpur]
  • A. Dholpur chosen
    Dholpur is a city in the Indian state of Rajasthan, known for its red sandstone, historical forts, and location near the Chambal ravines.
  • B. Achalpur
    Achalpur is a historic town in Maharashtra, India, known as one of the oldest cities in the Vidarbha region.
  • C. Rajpura
    Rajpura is an industrial and commercial town in the Patiala district of Punjab, India, known for its manufacturing base and strategic location as a transport hub.
  • D. Anupgarh
    Anupgarh is a town in the Ganganagar district of Rajasthan, India, known for its agricultural surroundings and proximity to the India–Pakistan border.
  • E. Pratapgarh
    Pratapgarh is a town in the Indian state of Rajasthan known for its historical association with the Mewar region and its distinctive tribal culture and handicrafts.
  • 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdedc4fb808190aae2e4b84be96f83 completed April 2, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6a7d465bc8190b419de253616b0fd completed April 8, 2026, 7:09 p.m.
Created at: March 30, 2026, 9:13 p.m.