Triple

T10151105
Position Surface form Disambiguated ID Type / Status
Subject Leonberg E232640 entity
Predicate locatedOnTransportCorridor P2409 FINISHED
Object A81 motorway E248413 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: A81 motorway | Statement: [Leonberg, locatedOnTransportCorridor, A81 motorway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A81 motorway
Context triple: [Leonberg, locatedOnTransportCorridor, A81 motorway]
  • A. A81 motorway chosen
    The A81 motorway is a major German autobahn running through the state of Baden-Württemberg, forming an important north–south transport corridor.
  • B. A86 motorway
    The A86 motorway is a major orbital highway forming part of the ring road system around Paris, France.
  • C. A8 motorway
    The A8 motorway is a major French highway in the Provence-Alpes-Côte d'Azur region that connects cities along the Mediterranean coast, including linking the Italian border area to Aix-en-Provence.
  • D. A8 motorway
    The A8 motorway is a major Swiss road that connects central Switzerland with the Bernese Oberland, passing through mountainous terrain and scenic alpine regions.
  • E. A89 motorway
    The A89 motorway is a major French highway running east–west across central France, linking cities such as Bordeaux, Clermont-Ferrand, and Lyon.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec0584a48190b65daa8370555c27 completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69f65e9136bc8190b35685376da7007e completed May 2, 2026, 8:29 p.m.
Created at: March 30, 2026, 9:08 p.m.