Triple

T23035476
Position Surface form Disambiguated ID Type / Status
Subject Mirpur Stadium E573581 entity
Predicate neighborhood P988 FINISHED
Object Mirpur 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: Mirpur | Statement: [Mirpur Stadium, neighborhood, Mirpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mirpur
Context triple: [Mirpur Stadium, neighborhood, Mirpur]
  • A. Mirpur chosen
    Mirpur is a residential and commercial area in Dhaka, Bangladesh, known for its major sports venues, educational institutions, and dense urban neighborhoods.
  • B. Mirpur
    Mirpur is a town and administrative center in Bangladesh’s Kushtia District, known for its role in the region’s local economy and governance.
  • C. Mirpur Khas
    Mirpur Khas is a major city in southeastern Pakistan known for its agricultural economy, particularly mango production, and its role as a regional commercial center.
  • D. Mirpur District
    Mirpur District is an administrative region in Azad Jammu and Kashmir, Pakistan, known for hosting the Mangla Dam and having a large diaspora community, particularly in the United Kingdom.
  • E. Mirpur DOHS
    Mirpur DOHS is a planned residential neighborhood in the Mirpur area of Dhaka, Bangladesh, primarily developed for defense officers and their families.
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1850df7fc81909ee522d99d96af0d completed April 29, 2026, 4:11 a.m.
Created at: April 17, 2026, 3:53 p.m.