Triple

T22513929
Position Surface form Disambiguated ID Type / Status
Subject N4 road E556592 entity
Predicate servesTown P847 FINISHED
Object Maynooth NE NERFINISHED

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: Maynooth | Statement: [N4 road, servesTown, Maynooth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maynooth
Context triple: [N4 road, servesTown, Maynooth]
  • A. Maynooth chosen
    Maynooth is a university town in County Kildare, Ireland, known for Maynooth University and its historic ecclesiastical heritage.
  • B. Tallaght
    Tallaght is a large suburban town and major population centre on the outskirts of Dublin, Ireland.
  • C. Maynooth College
    Maynooth College is a prominent Irish Catholic seminary and pontifical university located in Maynooth, County Kildare, known for training clergy and offering theology and humanities education.
  • D. College Hill, Armagh
    College Hill, Armagh is a notable area in the city of Armagh, Northern Ireland, known for housing key scientific and educational institutions including the historic Armagh Observatory.
  • E. Limerick campus
    Limerick campus is the main Mary Immaculate College site in Limerick, Ireland, housing its core teaching, learning, and student facilities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d62bea48190aaf34aa93bb3f67b completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.