Triple

T5654217
Position Surface form Disambiguated ID Type / Status
Subject Thames Valley E124576 entity
Predicate hasAttraction P105 FINISHED
Object Oxford historic centre E474662 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 historic centre | Statement: [Thames Valley, hasAttraction, Oxford historic centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oxford historic centre
Context triple: [Thames Valley, hasAttraction, Oxford historic centre]
  • A. Carfax, Oxford chosen
    Carfax, Oxford is the historic central crossroads of Oxford, England, from which the city’s main streets radiate and around which much of its commercial and collegiate life is focused.
  • B. Oxford
    Oxford is a historic English city renowned for its prestigious university, distinctive architecture, and long-standing academic and cultural influence.
  • C. Oxford
    Oxford is a federal electoral district in Ontario, Canada, represented in the House of Commons.
  • D. Oxford
    Oxford is a small town in New Haven County, Connecticut, known for its suburban-rural character and growing residential communities.
  • E. Oxford
    Oxford is a small Mississippi city best known as the home of the University of Mississippi and for its rich literary and cultural heritage.
  • 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022f7efec8190946c925130176d5a completed March 22, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d9b43288190b6d7c610546b52f2 completed March 22, 2026, 8:14 p.m.
Created at: March 22, 2026, 3:42 p.m.