Triple

T16371778
Position Surface form Disambiguated ID Type / Status
Subject Geraldines E397580 entity
Predicate territorialBase P14731 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: [Geraldines, territorialBase, Kildare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kildare
Context triple: [Geraldines, territorialBase, 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff420d04819096ff12e08edf2f8b completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00580fec0c8190b7fb73dbc637fb61 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:08 a.m.