Triple

T3531019
Position Surface form Disambiguated ID Type / Status
Subject Hadoti E74659 entity
Predicate hasHistoricCity P3786 FINISHED
Object Jhalawar E364482 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: Jhalawar | Statement: [Hadoti, hasHistoricCity, Jhalawar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jhalawar
Context triple: [Hadoti, hasHistoricCity, Jhalawar]
  • A. Jhalawar chosen
    Jhalawar is a town and administrative district headquarters in southeastern Rajasthan, India, known for its historic forts, temples, and rich Hadoti cultural heritage.
  • B. Ramgarh
    Ramgarh is a town and administrative district headquarters in the Indian state of Jharkhand, known for its coal mining and industrial activities.
  • C. 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.
  • D. Jhabua
    Jhabua is a town and administrative district headquarters in western Madhya Pradesh, India, known for its significant tribal population and culture.
  • E. 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.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc988ee081909c6b9d5eed0d2d6d completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44eeb831481909f9def02fe995c69 completed March 13, 2026, 5:52 p.m.
Created at: March 8, 2026, 3:19 p.m.