Triple

T22204826
Position Surface form Disambiguated ID Type / Status
Subject Jasmin E548777 entity
Predicate hasNeighbouringStation P41425 FINISHED
Object Ranelagh 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: Ranelagh | Statement: [Jasmin, hasNeighbouringStation, Ranelagh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ranelagh
Context triple: [Jasmin, hasNeighbouringStation, Ranelagh]
  • A. Ranelagh chosen
    Ranelagh is a leafy, affluent residential suburb on the south side of Dublin, Ireland, known for its cafés, restaurants, and village-like atmosphere close to the city centre.
  • B. Ranelagh
    Ranelagh is a Paris Métro station in the 16th arrondissement, serving the residential area near the Bois de Boulogne.
  • C. Phibsborough
    Phibsborough is a residential and commercial district on the northside of Dublin, Ireland, known for its Victorian streetscapes, busy crossroads, and proximity to the city centre.
  • D. Cluny Hill
    Cluny Hill is a prominent wooded hill near Forres in Moray, Scotland, known for its scenic walking trails and views over the surrounding countryside.
  • E. Rathmines
    Rathmines is a vibrant residential suburb on Dublin’s south side, known for its mix of historic architecture, busy shopping streets, and a large student population.
  • 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b27451081908c29d1915b6c4229 completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.