Triple

T6449380
Position Surface form Disambiguated ID Type / Status
Subject River Suck E139824 entity
Predicate flowsThrough P225 FINISHED
Object Ballinasloe E598014 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: Ballinasloe | Statement: [River Suck, flowsThrough, Ballinasloe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ballinasloe
Context triple: [River Suck, flowsThrough, Ballinasloe]
  • A. Ballinasloe chosen
    Ballinasloe is a market town in County Galway, Ireland, known for its historic annual horse fair and its location on the River Suck.
  • B. Fermoy
    Fermoy is a market town on the River Blackwater in southern Ireland known historically as a garrison town and regional commercial center.
  • C. Athlone
    Athlone is a major Irish town in the Midlands, known for its strategic location, historic castle, and role as a key crossing point between the east and west of Ireland.
  • D. Athlone
    Athlone is a residential suburb of Cape Town, South Africa, known for its diverse community and significant role in the country’s anti-apartheid history.
  • E. Mountshannon
    Mountshannon is a picturesque village in County Clare, Ireland, on the shores of Lough Derg, known for its lakeside scenery, marina, and access to nearby Holy Island.
  • 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_69c008b301948190a35854e5284dc822 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069b1a61c81908610264c098d25b0 completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c67403f7bc81908020e7f488121f8f completed March 27, 2026, 12:11 p.m.
Created at: March 22, 2026, 4:47 p.m.