Triple

T9801077
Position Surface form Disambiguated ID Type / Status
Subject A104 motorway (France) E237838 entity
Predicate alsoKnownAs P39 FINISHED
Object A104 E446385 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: A104 | Statement: [A104 motorway (France), alsoKnownAs, A104]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A104
Context triple: [A104 motorway (France), alsoKnownAs, A104]
  • A. A104 chosen
    A104, also called the Francilienne, is a major ring road project intended to encircle the Île-de-France region around Paris and relieve congestion on existing orbital routes.
  • B. A134
    The A134 is a primary road in eastern England that connects several towns and rural areas, including passing through the village of Stoke Ferry in Norfolk.
  • C. A10
    A10 is the route designation for a major German autobahn that forms the orbital Berliner Ring encircling the city of Berlin.
  • D. A10
    A10 is a major Austrian motorway forming part of the Tauern Autobahn, an important north–south transit route through the Alps.
  • E. A10
    A10 is a major orbital motorway encircling Amsterdam in the Netherlands, connecting various national highways and providing primary access to the city.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda62a11a88190880e0cce24923b14 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c44a652c81908f644e1a5efe3eb1 completed April 5, 2026, 2:09 a.m.
Created at: March 30, 2026, 8:29 p.m.