Triple

T20457818
Position Surface form Disambiguated ID Type / Status
Subject Ongar E501841 entity
Predicate near P350 FINISHED
Object Blanchardstown 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: Blanchardstown | Statement: [Ongar, near, Blanchardstown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blanchardstown
Context triple: [Ongar, near, Blanchardstown]
  • A. Blanchardstown chosen
    Blanchardstown is a large suburban area and major commercial and residential hub in the western part of Dublin, Ireland.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Ashtown
    Ashtown is a suburban area in northwest Dublin, Ireland, known for its residential neighborhoods and rail links to the city centre.
  • 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a2a8a88190992211b09295d8ea completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:33 a.m.