Triple

T21300935
Position Surface form Disambiguated ID Type / Status
Subject Ringsend E525059 entity
Predicate locatedNear P294 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: [Ringsend, locatedNear, Sandymount]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandymount
Context triple: [Ringsend, locatedNear, 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385c078881908a451be1a19a64c5 completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:05 p.m.