Triple

T12651615
Position Surface form Disambiguated ID Type / Status
Subject Brouwershaven E302174 entity
Predicate roadAccessVia P9041 FINISHED
Object N57 E107194 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: N57 | Statement: [Brouwershaven, roadAccessVia, N57]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N57
Context triple: [Brouwershaven, roadAccessVia, N57]
  • A. N57 chosen
    N57 is a major Dutch roadway that runs across the Brouwersdam and other Delta Works structures, connecting coastal regions in the southwest of the Netherlands.
  • B. N571X
    N571X is the registration number assigned to NASA’s experimental X-57 Maxwell electric aircraft.
  • C. N-55
    N-55 is a major national highway in Pakistan that runs along the Indus River, connecting key cities in the country’s north–south transport corridor.
  • D. N7
    N7 is a major national route in South Africa that runs roughly north–south, linking Cape Town with the Namibian border and serving as a key regional transport corridor.
  • E. N7
    N7 is the IATA airline designator assigned to Nordic Regional Airlines, a Finnish regional carrier.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9615f28cc81908e37249d7ab5ed74 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6687dad6c8190bb72bfebf6636a37 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:18 p.m.