Triple

T4046771
Position Surface form Disambiguated ID Type / Status
Subject Swiss motorway network E84083 entity
Predicate hasRoute P4374 FINISHED
Object A8 E284246 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: A8 | Statement: [Swiss motorway network, hasRoute, A8]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A8
Context triple: [Swiss motorway network, hasRoute, A8]
  • A. A8 chosen
    A8 is a major numbered road designation used in several countries for important regional or intercity routes.
  • B. A86
    A86 is a major orbital motorway forming part of the ring road system around Paris, France.
  • C. A7
    A7 is a major European motorway designation used for key north–south and east–west highway routes in several countries.
  • D. A9
    A9 is a major German autobahn that runs north–south, connecting Berlin with Munich and passing through regions such as Middle Franconia.
  • E. A6
    A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb62593c8190ab8462c4d9cd9d08 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55652228c8190a9f301676deb0055 completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:37 p.m.