Triple

T9415860
Position Surface form Disambiguated ID Type / Status
Subject Queen Street (Cardiff) E227017 entity
Predicate hasNearbySquare P7888 FINISHED
Object The Hayes E371802 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: The Hayes | Statement: [Queen Street (Cardiff), hasNearbySquare, The Hayes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Hayes
Context triple: [Queen Street (Cardiff), hasNearbySquare, The Hayes]
  • A. The Hayes chosen
    The Hayes is a prominent pedestrianised shopping street and public thoroughfare in the centre of Cardiff, Wales.
  • B. Peter Bryant
    Peter Bryant was a British television producer best known for his work on the science fiction series Doctor Who during the late 1960s.
  • C. Emmerson
    Emmerson is a masculine given name most prominently associated with Zimbabwean politician Emmerson Mnangagwa, the country's president.
  • D. The Harris
    The Harris is a prominent cultural institution in Preston, England, housing an art gallery, museum, and public library within a historic landmark building.
  • E. Anthony George
    Anthony George was an American television actor best known for his roles in mid-20th-century soap operas and crime dramas.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68c9917481909f793a2a9efb2a75 completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107baad74819090a746c06feb28ac completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:48 p.m.