Triple

T7610978
Position Surface form Disambiguated ID Type / Status
Subject Canterbury Roman Museum E172234 entity
Predicate heritageFocus P7933 FINISHED
Object Roman Canterbury E172234 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: Roman Canterbury | Statement: [Canterbury Roman Museum, heritageFocus, Roman Canterbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roman Canterbury
Context triple: [Canterbury Roman Museum, heritageFocus, Roman Canterbury]
  • A. Romsey
    Romsey is a historic market town in Hampshire, England, known for its medieval abbey and riverside setting.
  • B. Canterbury Roman Museum chosen
    Canterbury Roman Museum is an archaeological museum in Canterbury, England, showcasing Roman-era artifacts and the remains of an original Roman townhouse and mosaic floors.
  • C. Verulamium
    Verulamium was a major Roman town in Britain, located near modern St Albans, known for its archaeological remains including mosaics, a theatre, and city walls.
  • D. Bettany
    Bettany is an English surname most notably associated with actor Paul Bettany.
  • E. City of Chester
    The City of Chester is a historic walled city in northwest England renowned for its well-preserved Roman and medieval architecture, including distinctive black-and-white timbered buildings and ancient city walls.
  • 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa221c848190b892ba1caec8d83a completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c868645f8081909439f63df3184628 completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:55 p.m.