Triple

T6193977
Position Surface form Disambiguated ID Type / Status
Subject Harda E138464 entity
Predicate district P2709 FINISHED
Object Harda district E138464 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: [Harda, district, Harda district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harda district
Context triple: [Harda, district, Harda district]
  • A. 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.
  • B. Mathura district
    Mathura district is an administrative region in the Indian state of Uttar Pradesh, renowned as a major center of Hindu pilgrimage and culture associated with the life of Lord Krishna.
  • C. Jamnagar district
    Jamnagar district is an administrative region in the western Indian state of Gujarat, known for its coastal location, industrial hubs, and cultural heritage.
  • D. Harda chosen
    Harda is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its agricultural economy and railway connectivity.
  • E. Saharanpur district
    Saharanpur district is an administrative region in the northern Indian state of Uttar Pradesh, known for its agricultural economy, woodcraft industry, and location near the foothills of the Shivalik range.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062431ae88190a1bf6ca91f3dc690 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c243da922c819080d8d37adbb5635e completed March 24, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:19 p.m.