Triple

T7580381
Position Surface form Disambiguated ID Type / Status
Subject County Carlow E179470 entity
Predicate hasTown P847 FINISHED
Object Carlow E688881 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: Carlow | Statement: [County Carlow, hasTown, Carlow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlow
Context triple: [County Carlow, hasTown, Carlow]
  • A. Carlow chosen
    Carlow is a town in southeast Ireland known as a regional commercial center with historical sites and educational institutions.
  • B. Kilkenny
    Kilkenny is a historic city in southeastern Ireland known for its well-preserved medieval architecture, including Kilkenny Castle and St. Canice's Cathedral.
  • C. Roscommon
    Roscommon is a county town in central County Roscommon, Ireland, known for its historical sites and role as an administrative and commercial center in the region.
  • D. Clonmel
    Clonmel is a historic town in County Tipperary, Ireland, known for its strategic location and notable role in Irish military and political history.
  • 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_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f97717048190b0ca1a74ed8a817e completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8fa25e4a881909af09d8cbe6852dd completed March 29, 2026, 10:08 a.m.
Created at: March 27, 2026, 3:52 p.m.