Triple

T4914438
Position Surface form Disambiguated ID Type / Status
Subject Oxford railway station E110312 entity
Predicate near P350 FINISHED
Object Oxford Castle E110311 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 | Statement: [Oxford railway station, near, Oxford Castle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oxford Castle
Context triple: [Oxford railway station, near, Oxford Castle]
  • A. Oxford Castle chosen
    Oxford Castle is a historic Norman medieval castle and former prison in Oxford, England, now partly preserved as a tourist attraction and heritage site.
  • B. York Castle
    York Castle is a historic fortified complex in York, England, long used as a royal stronghold, administrative center, and prison.
  • C. Canterbury Castle
    Canterbury Castle is a Norman-era stone fortress in Canterbury, Kent, now a historic ruin and one of England’s oldest surviving castles.
  • D. Winchester Castle
    Winchester Castle is a historic medieval royal fortress in Winchester, England, long associated with the English monarchy and government.
  • E. Tonbridge Castle
    Tonbridge Castle is a historic Norman motte-and-bailey fortress in Tonbridge, Kent, known for its well-preserved gatehouse and riverside setting.
  • 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e9f12b48190b3cb5378958d03cd completed March 20, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6feaf3dc81908b2c7a7409b1c952 completed March 21, 2026, 10:16 a.m.
Created at: March 20, 2026, 1:29 p.m.