Triple

T22513902
Position Surface form Disambiguated ID Type / Status
Subject N4 road E556592 entity
Predicate routeNumber P1864 FINISHED
Object N4 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: N4 | Statement: [N4 road, routeNumber, N4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N4
Context triple: [N4 road, routeNumber, N4]
  • A. N4
    N4 is the station code used to identify the Midtown station on Atlanta’s MARTA rapid transit system.
  • B. N4 chosen
    N4 is a major national highway in South Africa that forms part of the key east–west transport corridor linking Gauteng to Botswana and Mozambique.
  • C. N40
    N40 is a major national primary road in County Cork, Ireland, forming part of the city’s southern ring route and linking key radial routes around Cork.
  • D. N1
    N1 is a central London postcode district covering parts of Islington, Hoxton, and surrounding areas known for their vibrant urban character.
  • E. N1
    N1 is a major national highway route, typically serving as a primary north–south or intercity transport corridor in the country’s road network.
  • 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.