Triple

T15812961
Position Surface form Disambiguated ID Type / Status
Subject Westfield London E383399 entity
Predicate architect P184 FINISHED
Object Benoy E982617 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: Benoy | Statement: [Westfield London, architect, Benoy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benoy
Context triple: [Westfield London, architect, Benoy]
  • A. Benoy chosen
    Benoy is an international architecture and design firm known for creating large-scale commercial and retail developments.
  • B. Bhola
    Bhola is a coastal town and district headquarters in southern Bangladesh, situated on the country’s largest island in the Meghna River delta.
  • C. Basu
    Basu is an Indian surname, particularly common among Bengali communities, that is closely related to and sometimes used as a variant of the surname Bose.
  • D. Benoy Bose
    Benoy Bose is an individual notable for bearing the surname Bose, which is associated with several prominent figures in Indian history, science, and culture.
  • E. Chittaranjan
    Chittaranjan is the given name of C. R. Das, a prominent Indian freedom fighter, lawyer, and political leader during the Indian independence movement.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a069bc8190bf9504dc6c998fa2 completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9993c86c8190b1d106af7537080a completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:49 a.m.