Triple

T21668284
Position Surface form Disambiguated ID Type / Status
Subject Dhaka University area E534777 entity
Predicate contains P35 FINISHED
Object Curzon Hall 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: Curzon Hall | Statement: [Dhaka University area, contains, Curzon Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Curzon Hall
Context triple: [Dhaka University area, contains, Curzon Hall]
  • A. Curzon Hall chosen
    Curzon Hall is a historic British-era academic building in Dhaka, Bangladesh, now a prominent science faculty complex of the University of Dhaka and a notable architectural landmark.
  • B. Lawrance Hall
    Lawrance Hall is an academic building located on Yale University's historic Old Campus.
  • C. Hagen Hall
    Hagen Hall is an academic building on the campus of Minnesota State University Moorhead, housing classrooms, offices, and other university facilities.
  • D. Hooton Hall
    Hooton Hall is a historic country house and notable landmark located in the village of Hooton in Cheshire, England.
  • E. Aytoun Hall
    Aytoun Hall is a historic public building and community venue located in the town of Auchterarder in Perth and Kinross, Scotland.
  • 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_69e0c46898008190aa618a4af55bd1ee completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c0e008c8190a549d275b1c98e0b completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:37 p.m.