Triple

T17082727
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Leinster E414513 entity
Predicate associatedWith P37 FINISHED
Object Kildare E881429 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: Kildare | Statement: [Kingdom of Leinster, associatedWith, Kildare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kildare
Context triple: [Kingdom of Leinster, associatedWith, Kildare]
  • A. Kildare chosen
    Kildare is a historic town in eastern Ireland known for its early Christian heritage, horse racing traditions, and association with Saint Brigid.
  • 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. Kilkenny
    Kilkenny is a residential suburb in the western metropolitan area of Adelaide, South Australia.
  • D. Wicklow
    Wicklow is a coastal county in eastern Ireland known for its mountainous landscapes, scenic coastline, and proximity to Dublin.
  • E. 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.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe408d48190b4f52c2102eae7c2 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01673ff7ec8190add7af932c38deef completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:35 a.m.