Triple

T4664226
Position Surface form Disambiguated ID Type / Status
Subject Mandsaur E102806 entity
Predicate district P2709 FINISHED
Object Mandsaur district E102806 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: Mandsaur district | Statement: [Mandsaur, district, Mandsaur district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandsaur district
Context triple: [Mandsaur, district, Mandsaur district]
  • A. Auraiya district
    Auraiya district is an administrative district in the state of Uttar Pradesh, India, known for its location along major transport routes and its largely agrarian economy.
  • B. Mandsaur chosen
    Mandsaur is a prominent city in northwestern Madhya Pradesh, India, known for its historical significance and agricultural and industrial economy.
  • C. Ballia district
    Ballia district is an administrative region in the eastern part of Uttar Pradesh, India, historically notable as the birthplace of Indian independence revolutionary Mangal Pandey.
  • D. Dausa district
    Dausa district is an administrative district in the Indian state of Rajasthan, known for its historical sites, rural landscapes, and proximity to Jaipur.
  • E. Kawardha
    Kawardha is a regional dialect of the Chhattisgarhi language spoken in parts of the Indian state of Chhattisgarh.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd633aeba88190a8329ed022d685b6 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03803a948190b6dc2a03bb9cdc93 completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:15 p.m.