Triple

T9650556
Position Surface form Disambiguated ID Type / Status
Subject Queen Street (Oxford) E233321 entity
Predicate near P350 FINISHED
Object Oxford Castle Quarter E478902 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: Oxford Castle Quarter | Statement: [Queen Street (Oxford), near, Oxford Castle Quarter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oxford Castle Quarter
Context triple: [Queen Street (Oxford), near, Oxford Castle Quarter]
  • A. Oxford Castle Quarter chosen
    Oxford Castle Quarter is a redeveloped historic area in central Oxford featuring the former medieval castle and prison complex, now home to restaurants, bars, hotels, and cultural attractions.
  • B. Castle Quarter
    Castle Quarter is a major shopping and leisure centre located in the city centre of Norwich, England.
  • C. Castlefield
    Castlefield is a historic urban area in Manchester, England, known for its preserved industrial heritage, canals, and Roman origins.
  • D. Lincoln Cathedral Quarter
    Lincoln Cathedral Quarter is a historic district in Lincoln, England, centered around the city’s medieval cathedral and castle and known for its cobbled streets, heritage architecture, and cultural attractions.
  • E. South Quay Plaza
    South Quay Plaza is a major residential skyscraper development in London’s Docklands, notable for its tall glass towers overlooking the Canary Wharf financial district.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9baf9a1c819098c407ea7d42e6d1 completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1826780fc81909c418e82bd94c581 completed April 4, 2026, 9:28 p.m.
Created at: March 30, 2026, 8:13 p.m.