Triple

T14591722
Position Surface form Disambiguated ID Type / Status
Subject Scenic Rim E342462 entity
Predicate hasPart P35 FINISHED
Object Rathdowney E855565 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: Rathdowney | Statement: [Scenic Rim, hasPart, Rathdowney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rathdowney
Context triple: [Scenic Rim, hasPart, Rathdowney]
  • A. Rathdowney chosen
    Rathdowney is a small rural town in Queensland, Australia, known as a gateway to the scenic Mount Barney National Park and the surrounding Scenic Rim region.
  • B. Rathdowney
    Rathdowney is a small town in County Laois, Ireland, known as a local service and market centre for the surrounding rural area.
  • C. Ballymote
    Ballymote is a small historic town in County Sligo, Ireland, known for its medieval castle and the famous Gaelic manuscript "The Book of Ballymote."
  • D. Ballyhaunis
    Ballyhaunis is a small market town in east County Mayo, Ireland, known as a local commercial and transport hub with a diverse community.
  • E. Ballyragget
    Ballyragget is a small town in County Kilkenny, Ireland, known for its agricultural surroundings and local dairy industry.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4249af08190962009741d1f7d41 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bbfc6048190897f064a5686ebf8 completed May 9, 2026, 1:19 a.m.
Created at: April 10, 2026, 1:24 a.m.