Triple

T810884
Position Surface form Disambiguated ID Type / Status
Subject Middle Franconia E17540 entity
Predicate hasMotorway P385 FINISHED
Object A73 E82480 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: A73 | Statement: [Middle Franconia, hasMotorway, A73]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A73
Context triple: [Middle Franconia, hasMotorway, A73]
  • A. A73 chosen
    A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
  • B. A35
    A35 is a major French motorway in the Alsace region that runs north–south near the German border, connecting cities such as Strasbourg and Mulhouse.
  • C. A92
    A92 is a major trunk road in eastern Scotland that runs along the coast, connecting several key towns and cities including Dundee and Aberdeen.
  • D. A's
    A's is the common nickname for the Philadelphia Athletics, a historic Major League Baseball franchise.
  • E. A40
    A40 is a major French motorway, also known as the "Autoroute Blanche," that connects Mâcon to the Mont Blanc region through the Jura and Alps.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab282fe48190a05ee97550843cd7 completed March 1, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d8869888190a95857546dfae5b3 completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:38 p.m.