Triple

T19195128
Position Surface form Disambiguated ID Type / Status
Subject River Barrow E469945 entity
Predicate flowsThrough P225 FINISHED
Object Carlow town 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: Carlow town | Statement: [River Barrow, flowsThrough, Carlow town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlow town
Context triple: [River Barrow, flowsThrough, Carlow town]
  • A. Carlow chosen
    Carlow is a town in southeast Ireland known as a regional commercial center with historical sites and educational institutions.
  • B. Clonmel
    Clonmel is a historic town in County Tipperary, Ireland, known for its strategic location and notable role in Irish military and political history.
  • C. Thurles
    Thurles is a market town in County Tipperary, Ireland, known as a significant Gaelic Athletic Association (GAA) center and the location of Semple Stadium.
  • D. Kilkenny
    Kilkenny is a historic city in southeastern Ireland known for its well-preserved medieval architecture, including Kilkenny Castle and St. Canice's Cathedral.
  • E. Kilkenny
    Kilkenny is a residential suburb in the western metropolitan area of Adelaide, South Australia.
  • 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f8a4d6b4819083fc5dd4dab05811 completed April 20, 2026, 9:57 a.m.
Created at: April 10, 2026, 12:07 p.m.