Triple

T7426777
Position Surface form Disambiguated ID Type / Status
Subject Les Ulis E171386 entity
Predicate hasTwinTown P919 FINISHED
Object Naas E254923 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: Naas | Statement: [Les Ulis, hasTwinTown, Naas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naas
Context triple: [Les Ulis, hasTwinTown, Naas]
  • A. Naas chosen
    Naas is a historic market town in County Kildare, Ireland, which serves as a major commuter hub for nearby Dublin.
  • B. 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.
  • C. 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.
  • D. Sallins
    Sallins is a village in County Kildare, Ireland, known for its historic canal-side setting and role as a commuter hub near Dublin.
  • E. Chapelizod
    Chapelizod is a historic riverside village and suburb on the western edge of Dublin, Ireland, known for its literary associations and proximity to the River Liffey.
  • 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_69c68a63491881909281f73d4d5643bf completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3055b7881908269ab909c5a85b5 completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8de96d58c819086c308396a4a304e completed March 29, 2026, 8:11 a.m.
Created at: March 27, 2026, 3:12 p.m.