Triple

T10370018
Position Surface form Disambiguated ID Type / Status
Subject Mount Lindesay E244355 entity
Predicate locatedNear P294 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: [Mount Lindesay, locatedNear, Rathdowney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rathdowney
Context triple: [Mount Lindesay, locatedNear, 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. Ballyhaunis
    Ballyhaunis is a small market town in east County Mayo, Ireland, known as a local commercial and transport hub with a diverse community.
  • C. Ballyragget
    Ballyragget is a small town in County Kilkenny, Ireland, known for its agricultural surroundings and local dairy industry.
  • D. Bagenalstown
    Bagenalstown is a small market town in County Carlow, Ireland, situated on the River Barrow and known for its historic architecture and canal-side setting.
  • E. Ballymahon
    Ballymahon is a small town in County Longford, Ireland, situated on the River Inny and known for its surrounding rural landscapes and proximity to the Royal Canal.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9737cfc81909d6302bd4177d186 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb8e96e081908282bb0f82719abe completed April 9, 2026, 7:18 p.m.
Created at: April 6, 2026, 12:01 p.m.