Triple

T21260697
Position Surface form Disambiguated ID Type / Status
Subject St John the Evangelist Church E523989 entity
Predicate locatedIn P40 FINISHED
Object Sandymount NE NERFINISHED

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: Sandymount | Statement: [St John the Evangelist Church, locatedIn, Sandymount]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandymount
Context triple: [St John the Evangelist Church, locatedIn, Sandymount]
  • A. Sandymount chosen
    Sandymount is a coastal suburb on the south side of Dublin, Ireland, known for its scenic strand and residential character.
  • B. Raheny
    Raheny is a coastal suburban area on the north side of Dublin, Ireland, known for its residential character and proximity to beaches and parkland.
  • C. Ballymun
    Ballymun is a residential suburb on the northside of Dublin, Ireland, known for its large-scale social housing developments and subsequent urban regeneration projects.
  • D. Deansgrange
    Deansgrange is a suburban area in south County Dublin, Ireland, known for its residential character and large cemetery.
  • E. Clonskeagh
    Clonskeagh is a suburban area on the south side of Dublin, Ireland, known for its residential character, proximity to University College Dublin, and location along the River Dodder.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e6a0448190ad412a8fcbbd8ff0 completed April 21, 2026, 8:31 a.m.
Created at: April 16, 2026, 3:59 p.m.