Triple

T21404555
Position Surface form Disambiguated ID Type / Status
Subject A2 Amsterdam–Maastricht corridor E527999 entity
Predicate hasNumbering P22578 FINISHED
Object A2 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: A2 | Statement: [A2 Amsterdam–Maastricht corridor, hasNumbering, A2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A2
Context triple: [A2 Amsterdam–Maastricht corridor, hasNumbering, A2]
  • A. A2
    A2 is a common nickname for Ann Arbor, Michigan, often used by locals and in regional culture.
  • B. A2 chosen
    A2 is a major coastal highway route, commonly designated in several countries as a key road running along or near the shoreline to connect important coastal cities and regions.
  • C. A22
    A22 is a major Portuguese motorway, commonly known as Via do Infante, that runs across the Algarve region in southern Portugal.
  • D. 2A
    2A is a state highway designation used for an auxiliary route of Massachusetts Route 2 that serves local traffic through several cities and towns in the state.
  • E. A3
    A3 is a major national highway in Zimbabwe that serves as an important route connecting key towns and regions within the country.
  • 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_69e0b520ee3c8190abddbee7e37e834c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b1ade4188190aca09bbbf2c2db87 completed April 22, 2026, 11:31 a.m.
Created at: April 16, 2026, 5:31 p.m.