Triple

T19172596
Position Surface form Disambiguated ID Type / Status
Subject Betul district E469361 entity
Predicate borderedBy P224 FINISHED
Object Harda district E941015 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: Harda district | Statement: [Betul district, borderedBy, Harda district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harda district
Context triple: [Betul district, borderedBy, Harda district]
  • A. Harda district chosen
    Harda district is an administrative district in the central Indian state of Madhya Pradesh, known for its agricultural economy and location in the Narmada River valley.
  • B. Badaun district
    Badaun district is an administrative district in the Indian state of Uttar Pradesh, known for its historical significance and location in the Rohilkhand region.
  • C. Bhadohi district
    Bhadohi district is a district in the Indian state of Uttar Pradesh, widely known as a major center for carpet weaving and textile production.
  • D. Bhind district
    Bhind district is an administrative district in the northern part of Madhya Pradesh, India, known for its agricultural economy and location in the Chambal river region.
  • E. Sheopur district
    Sheopur district is an administrative district in the northern Indian state of Madhya Pradesh, known for its forested terrain and proximity to the Chambal River.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f16544948190bd10ca7804dd27a5 completed April 20, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0705c6ad848190972cdcf11e779bae completed May 15, 2026, 11:38 a.m.
Created at: April 10, 2026, 12:06 p.m.