Triple

T11444638
Position Surface form Disambiguated ID Type / Status
Subject Alwar district E271231 entity
Predicate hasMajorTown P316 FINISHED
Object Bhiwadi E389851 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: Bhiwadi | Statement: [Alwar district, hasMajorTown, Bhiwadi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhiwadi
Context triple: [Alwar district, hasMajorTown, Bhiwadi]
  • A. Bhiwadi chosen
    Bhiwadi is an industrial town in the Indian state of Rajasthan that forms part of the extended urban and economic area around Delhi.
  • B. Ratlam
    Ratlam is a prominent commercial city in western Madhya Pradesh, India, known for its railway junction, textile and chemical industries, and production of gold and silver jewelry.
  • C. Jalgaon
    Jalgaon is a city in northwestern Maharashtra, India, known as a major commercial center for banana production and trade.
  • D. Bhusawal
    Bhusawal is a major railway and commercial city in Maharashtra, India, known for its large railway junction and banana-growing region.
  • E. Sawantwadi
    Sawantwadi is a historic town in Maharashtra, India, known for its former royal palace, traditional wooden toys, and scenic location near the Goa border.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8088a66f48190b2b4a56cd62097cf completed April 9, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69e624782cf88190b696a1c7c9a56395 completed April 20, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:35 p.m.