Triple

T20314898
Position Surface form Disambiguated ID Type / Status
Subject Mayor of Reading E510352 entity
Predicate basedIn P40 FINISHED
Object Reading Town 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: Reading Town Hall | Statement: [Mayor of Reading, basedIn, Reading Town Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reading Town Hall
Context triple: [Mayor of Reading, basedIn, Reading Town Hall]
  • A. Reading Town Hall
    Reading Town Hall is a prominent Victorian civic building in Reading, England, designed by architect Alfred Waterhouse and noted for its distinctive Gothic Revival style.
  • B. The Town Hall
    The Town Hall is a historic performance venue in Midtown Manhattan, New York City, renowned for its concerts, lectures, and cultural events.
  • C. Wem Town Hall
    Wem Town Hall is a historic civic building and community venue located in the market town of Wem in Shropshire, England.
  • D. Douglas Town Hall
    Douglas Town Hall is the principal municipal building and administrative center of the town of Douglas on the Isle of Man.
  • E. Town Hall, Reading chosen
    Town Hall, Reading is a historic Victorian civic building in Reading, Berkshire, England, that houses cultural venues including Reading Museum and a concert hall.
  • 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67786f4dc8190b02a6c2a4338362d completed April 20, 2026, 6:59 p.m.
Created at: April 16, 2026, 11:19 a.m.