Triple

T12470923
Position Surface form Disambiguated ID Type / Status
Subject Palace Green E298053 entity
Predicate locatedIn P40 FINISHED
Object Durham city centre E59757 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: Durham city centre | Statement: [Palace Green, locatedIn, Durham city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durham city centre
Context triple: [Palace Green, locatedIn, Durham city centre]
  • A. Newcastle city centre
    Newcastle city centre is the main commercial, cultural, and retail hub of Newcastle upon Tyne in northeast England.
  • B. Durham chosen
    Durham is a historic cathedral city in northeast England known for its Norman architecture and prestigious university.
  • C. Durham
    Durham is a regional municipality in Southern Ontario, Canada, encompassing several communities east of Toronto including cities like Whitby and Oshawa.
  • D. Durham
    Durham is a common English surname of Old English origin, associated with various notable individuals and places.
  • E. Morpeth
    Morpeth is a historic market town in Northumberland, England, known for its traditional architecture and role as a local commercial and administrative centre.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dba7f6c8190b272f649e0777362 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66859c0448190980c5e490cc41118 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:56 p.m.