Triple

T6346726
Position Surface form Disambiguated ID Type / Status
Subject Athlone Lock E142762 entity
Predicate locatedIn P40 FINISHED
Object Athlone E164789 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: Athlone | Statement: [Athlone Lock, locatedIn, Athlone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Athlone
Context triple: [Athlone Lock, locatedIn, Athlone]
  • A. Athlone chosen
    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.
  • B. 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.
  • C. Fermoy
    Fermoy is a market town on the River Blackwater in southern Ireland known historically as a garrison town and regional commercial center.
  • D. Cahir
    Cahir is a historic town in County Tipperary, Ireland, best known for its well-preserved medieval castle on the River Suir.
  • E. Sligo
    Sligo is a coastal town in northwest Ireland known for its literary associations with W.B. Yeats and its scenic landscapes of mountains, lakes, and Atlantic shoreline.
  • 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_69c008d5ab108190b346c465696824a9 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067b907c4819085a3ea87589bc4be completed March 22, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64ba8838c8190873ebe0ae9c0237d completed March 27, 2026, 9:19 a.m.
Created at: March 22, 2026, 4:31 p.m.