Triple

T8303111
Position Surface form Disambiguated ID Type / Status
Subject Brentwood Town Centre E194392 entity
Predicate hasOfficeComponent P82628 FINISHED
Object yes LITERAL 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: yes | Statement: [Brentwood Town Centre, hasOfficeComponent, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOfficeComponent
Context triple: [Brentwood Town Centre, hasOfficeComponent, yes]
  • A. supportsOffice
    Indicates that one entity provides assistance, resources, or endorsement to an office or officeholder in performing its functions or maintaining its operations.
  • B. equivalentOffice
    Indicates that two offices are considered functionally or formally the same position, role, or authority, even if they differ in name or jurisdiction.
  • C. defaultOfficeSuite
    Indicates that a particular office software suite is set as the primary or standard choice to be used by default.
  • D. launchedByOffice
    Indicates that an office or organizational unit is responsible for initiating or launching a particular project, program, product, or action.
  • E. relatesToOffice
    Indicates that one entity has a connection, association, or relevance to an office, its functions, or its environment.
  • F. None of above. chosen

Provenance (4 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7e8a45348190a7895b33abcb64c9 completed March 31, 2026, 7:58 a.m.
PD Predicate disambiguation batch_69cb70bb3a708190bc705222092da614 completed March 31, 2026, 6:59 a.m.
PDg Predicate description generation batch_69cb76d648988190ab0669cc0592e827 completed March 31, 2026, 7:25 a.m.
Created at: March 30, 2026, 5:53 p.m.