Triple

T12807437
Position Surface form Disambiguated ID Type / Status
Subject County Sligo E306180 entity
Predicate contains P35 FINISHED
Object Enniscrone E742114 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: Enniscrone | Statement: [County Sligo, contains, Enniscrone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enniscrone
Context triple: [County Sligo, contains, Enniscrone]
  • A. Enniscrone chosen
    Enniscrone is a coastal resort town in County Sligo, Ireland, known for its long sandy beach, surfing, and seaside tourism.
  • B. Loughrea
    Loughrea is a historic market town in eastern County Galway, Ireland, known for its medieval heritage, lakeside setting, and traditional Irish culture.
  • C. Ballyhaunis
    Ballyhaunis is a small market town in east County Mayo, Ireland, known as a local commercial and transport hub with a diverse community.
  • D. Fermoy
    Fermoy is a market town on the River Blackwater in southern Ireland known historically as a garrison town and regional commercial center.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e808130819080f404b3a7462c2e completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d7a9e6c81908ae78daace02e7ec completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 5:31 p.m.