Triple

T14951235
Position Surface form Disambiguated ID Type / Status
Subject Kildare Street E372797 entity
Predicate formerName P65 FINISHED
Object Kildare Street and Mall E372797 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: Kildare Street and Mall | Statement: [Kildare Street, formerName, Kildare Street and Mall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kildare Street and Mall
Context triple: [Kildare Street, formerName, Kildare Street and Mall]
  • A. Kildare Street chosen
    Kildare Street is a prominent street in central Dublin, Ireland, known for housing key national institutions, including the Irish parliament at Leinster House.
  • B. Meath Street
    Meath Street is a historic commercial street in Dublin’s Liberties area, known for its traditional markets, independent shops, and strong local community character.
  • C. Grace Street
    Grace Street is a prominent thoroughfare in Richmond’s historic Fan District, known for its mix of residential buildings, local businesses, and cultural spots.
  • D. Hennessy Street
    Hennessy Street is a New York-style backlot set on the Warner Bros. studio lot frequently used for filming urban street scenes in movies and television shows.
  • E. Aungier Street
    Aungier Street is a central Dublin city street known for its mix of historic buildings, commercial activity, and educational institutions.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded690f2e08190ad9dad6dc05a164a completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dc2ad1c8190a811bb0c20643309 completed May 9, 2026, 2:36 a.m.
Created at: April 10, 2026, 2:39 a.m.