Triple

T15948399
Position Surface form Disambiguated ID Type / Status
Subject Isabelle E386747 entity
Predicate associatedWithItem P2830 FINISHED
Object Town Hall unclear NED1 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: Town Hall | Statement: [Isabelle, associatedWithItem, Town Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town Hall
Context triple: [Isabelle, associatedWithItem, Town Hall]
  • A. Town Hall
    Town Hall is a prominent civic and cultural building in Middlesbrough, England, known for hosting concerts, performances, and community events.
  • B. Town Hall
    Town Hall is a prominent civic building in Leamington Spa that serves as a focal point for local government and community events.
  • C. Town Hall
    Town Hall is a major civic building and historic landmark in central Sydney, commonly used for government functions, public events, and cultural activities.
  • D. Town Hall
    Town Hall is a prominent civic building in Clonmel, Ireland, serving as a central venue for local government and community events.
  • E. Town Hall
    Town Hall is a historic civic building in Berwick-upon-Tweed that has long served as a center for local government and community events.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d3cc04819097367369a78d6ef2 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5c0c8a481908aa7a40bca15e38e completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.