Triple

T5873567
Position Surface form Disambiguated ID Type / Status
Subject City of Orange E130573 entity
Predicate roadConnection P385 FINISHED
Object A7 motorway E368581 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: A7 motorway | Statement: [City of Orange, roadConnection, A7 motorway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A7 motorway
Context triple: [City of Orange, roadConnection, A7 motorway]
  • A. A7 motorway chosen
    The A7 motorway is a major French highway that runs through the Rhône Valley, linking Lyon to Marseille and serving as a key north–south route in southeastern France.
  • B. A7 motorway
    The A7 motorway is one of Germany's major north–south autobahns, running the length of the country and passing near cities such as Göttingen.
  • C. A7 motorway
    The A7 motorway is a major Dutch highway that runs across the northern Netherlands, connecting cities such as Groningen and linking to the German border.
  • D. A27 motorway
    The A27 motorway is a major north–south highway in the Netherlands that connects several key cities and regions in the central part of the country.
  • E. A5 motorway
    The A5 motorway is a major Swiss highway that connects key cities along the Jura region and shores of Lake Neuchâtel, facilitating regional and international traffic.
  • 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_69c0085047dc8190af24e311edad3c07 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035fafb54819085378e7c8d137402 completed March 22, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5674c408190bdea241134fba474 completed March 30, 2026, 10:12 p.m.
Created at: March 22, 2026, 3:57 p.m.