Triple

T2770434
Position Surface form Disambiguated ID Type / Status
Subject Munster E61441 entity
Predicate historicalCapital P2536 FINISHED
Object Cashel E67470 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: Cashel | Statement: [Munster, historicalCapital, Cashel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cashel
Context triple: [Munster, historicalCapital, Cashel]
  • A. Cashel chosen
    Cashel is a former parliamentary constituency in Ireland that was once represented in the British Parliament by statesman Sir Robert Peel.
  • B. Blessington
    Blessington is a small town in County Wicklow, Ireland, known for its proximity to the Blessington Lakes and scenic views of the surrounding Wicklow Mountains.
  • C. Ballina
    Ballina is a coastal town in northern New South Wales, Australia, known for its beaches, riverfront, and role as a regional service and tourism hub.
  • 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. Chapelizod
    Chapelizod is a historic riverside village and suburb on the western edge of Dublin, Ireland, known for its literary associations and proximity to the River Liffey.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd690b24819095647dd4a4f902bb completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055c4e58c8190809cc77161754246 completed March 10, 2026, 5:32 p.m.
Created at: March 6, 2026, 9:57 p.m.