Triple

T20171103
Position Surface form Disambiguated ID Type / Status
Subject Baran district E491959 entity
Predicate borderedBy P224 FINISHED
Object Jhalawar district 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: Jhalawar district | Statement: [Baran district, borderedBy, Jhalawar district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jhalawar district
Context triple: [Baran district, borderedBy, Jhalawar district]
  • A. Jhalawar district chosen
    Jhalawar district is an administrative district in the southeastern part of Rajasthan, India, known for its rich cultural heritage, historic forts, and scenic landscapes.
  • B. Rajgarh district
    Rajgarh district is an administrative region in the central Indian state of Madhya Pradesh, known for its predominantly rural character and agrarian economy.
  • C. Pratapgarh district
    Pratapgarh district is an administrative district in the Indian state of Uttar Pradesh, known for its agricultural economy and historical significance.
  • D. Ramgarh district
    Ramgarh district is an administrative district in the Indian state of Jharkhand, known for its coal mining industry and diverse linguistic communities.
  • E. Sirohi district
    Sirohi district is a region in the southwestern part of Rajasthan, India, known for its rugged Aravalli hills and the famous hill station of Mount Abu.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66848ae3c8190aa5fde66da35a89a completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.