Triple

T12424300
Position Surface form Disambiguated ID Type / Status
Subject River Suir E296857 entity
Predicate passesNear P416 FINISHED
Object Cahir E335541 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: Cahir | Statement: [River Suir, passesNear, Cahir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cahir
Context triple: [River Suir, passesNear, Cahir]
  • A. Cahir chosen
    Cahir is a historic town in County Tipperary, Ireland, best known for its well-preserved medieval castle on the River Suir.
  • B. Athlone
    Athlone is a major Irish town in the Midlands, known for its strategic location, historic castle, and role as a key crossing point between the east and west of Ireland.
  • C. Athlone
    Athlone is a residential suburb of Cape Town, South Africa, known for its diverse community and significant role in the country’s anti-apartheid history.
  • D. Portlaoise
    Portlaoise is a major town in County Laois, Ireland, serving as an important regional commercial and transport hub.
  • E. Sligo
    Sligo is a coastal town in northwest Ireland known for its literary associations with W.B. Yeats and its scenic landscapes of mountains, lakes, and Atlantic shoreline.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7b6bd08190b30beba393a5b1e7 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6fef6c34481909e18bce1154e7146 completed May 3, 2026, 7:53 a.m.
Created at: April 8, 2026, 9:55 p.m.