Triple

T1344262
Position Surface form Disambiguated ID Type / Status
Subject Cardiff Queen Street E28533 entity
Predicate locatedNear P294 FINISHED
Object Cardiff city centre E12034 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: Cardiff city centre | Statement: [Cardiff Queen Street, locatedNear, Cardiff city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cardiff city centre
Context triple: [Cardiff Queen Street, locatedNear, Cardiff city centre]
  • A. Cardiff chosen
    Cardiff is the capital and largest city of Wales, known as a major cultural, commercial, and sporting center with a rich industrial and maritime history.
  • B. Cardiff Bay waterfront
    Cardiff Bay waterfront is a redeveloped docklands area in Cardiff known for its modern cultural attractions, restaurants, and scenic views along the bay.
  • C. Bridgend
    Bridgend is a town and county borough in South Wales, situated roughly midway between Cardiff and Swansea and known historically for its market and industrial heritage.
  • D. Llantrisant
    Llantrisant is a historic Welsh town known for its medieval heritage and hilltop setting in South Wales.
  • E. Cardiff Council
    Cardiff Council is the local government authority responsible for providing public services and administration for the city of Cardiff, Wales.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c23b8a9081908b78405d4ef806af completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad4684f09081909775a9967c1cc09f completed March 8, 2026, 9:51 a.m.
Created at: March 1, 2026, 7:56 p.m.