Triple

T6854114
Position Surface form Disambiguated ID Type / Status
Subject Pagoda (Reading, Pennsylvania) E158094 entity
Predicate operator P179 FINISHED
Object City of Reading E624444 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: City of Reading | Statement: [Pagoda (Reading, Pennsylvania), operator, City of Reading]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Reading
Context triple: [Pagoda (Reading, Pennsylvania), operator, City of Reading]
  • A. City of Reading chosen
    The City of Reading is a municipality in southeastern Pennsylvania known for its industrial history, diverse communities, and distinctive hillside pagoda landmark.
  • B. Maidenhead
    Maidenhead is a large riverside town on the River Thames in Berkshire, England, known as a commuter hub for London with a mix of historic and modern development.
  • C. Southbourne
    Southbourne is a village and civil parish in West Sussex, England, situated near Chichester on the south coast.
  • D. Shaftesbury
    Shaftesbury is a historic hilltop town in Dorset, England, known for its picturesque streets, including the famously steep, cobbled Gold Hill.
  • E. Buckingham
    Buckingham is a former municipality in western Quebec, Canada, now part of the city of Gatineau.
  • 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_69c6882fae988190864cbba788c5ebb4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d851321481908c49c2c949359703 completed March 27, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7427dda908190953cf8b535249980 completed March 28, 2026, 2:52 a.m.
Created at: March 27, 2026, 2:20 p.m.