Triple

T18365303
Position Surface form Disambiguated ID Type / Status
Subject Autobahn A93 E440027 entity
Predicate routeNumber P1864 FINISHED
Object A93 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: A93 | Statement: [Autobahn A93, routeNumber, A93]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A93
Context triple: [Autobahn A93, routeNumber, A93]
  • A. A93 chosen
    A93 is a German federal motorway (Autobahn) in Bavaria that provides a key north–south connection and links cities such as Hof (Saale) with the wider Autobahn network.
  • B. A9
    A9 is a major Swiss motorway that runs across the southwestern part of the country, connecting key regions in Valais and linking to international routes.
  • C. A9
    A9 is a major German autobahn that runs north–south, connecting Berlin with Munich and passing through regions such as Middle Franconia.
  • D. A9
    The A9 is a major trunk road in Scotland that runs from Falkirk to Scrabster, serving as one of the country’s primary north–south transport routes.
  • E. A91
    A91 is a major Italian motorway connecting Rome to Leonardo da Vinci–Fiumicino Airport.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5174d31608190851a5bab6878c203 completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:38 a.m.