Triple

T19120022
Position Surface form Disambiguated ID Type / Status
Subject Autobahn A59 E468016 entity
Predicate hasAbbreviation P43 FINISHED
Object A 59 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: A 59 | Statement: [Autobahn A59, hasAbbreviation, A 59]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A 59
Context triple: [Autobahn A59, hasAbbreviation, A 59]
  • A. A 49
    A 49 is a designated motorway route, known as part of the numbered highway network in its country.
  • B. A59 chosen
    A59 is a major road in northern England that runs between Liverpool and York, passing through key towns such as Preston and Skipton.
  • C. A 9
    A 9 is the standard abbreviation for a Swedish Army artillery regiment known for operating and training heavy fire-support units.
  • D. A595
    The A595 is a primary road in Cumbria, England, running along the county’s western side and serving as a key route to coastal towns and the western Lake District.
  • E. A509
    The A509 is a primary road in England that connects the town of Wellingborough to the A45 and A14 corridors, providing a key route through Northamptonshire and surrounding areas.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3c810808190a88d5c7859e7c650 completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:05 p.m.