Triple

T6671152
Position Surface form Disambiguated ID Type / Status
Subject Reading, Berkshire E151731 entity
Predicate hasLandmark P105 FINISHED
Object Reading Town Hall E510373 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: Reading Town Hall | Statement: [Reading, Berkshire, hasLandmark, Reading Town Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reading Town Hall
Context triple: [Reading, Berkshire, hasLandmark, 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. 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.
  • E. Manchester Town Hall
    Manchester Town Hall is a Victorian-era neo-Gothic municipal building in Manchester, England, serving as the historic seat of the city's local government.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0c9163c8190ad959172a8458619 completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef12fcfc819086b37dc9b9929663 completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2:03 p.m.