Triple

T2247115
Position Surface form Disambiguated ID Type / Status
Subject A86 autoroute E49528 entity
Predicate passesThrough P225 FINISHED
Object Seine-Saint-Denis E46314 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: Seine-Saint-Denis | Statement: [A86 autoroute, passesThrough, Seine-Saint-Denis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seine-Saint-Denis
Context triple: [A86 autoroute, passesThrough, Seine-Saint-Denis]
  • A. Seine-Saint-Denis chosen
    Seine-Saint-Denis is a densely populated suburban department northeast of Paris, known for its cultural diversity, working-class communities, and significant role in the metropolitan area’s social and economic life.
  • B. Hauts-de-Seine
    Hauts-de-Seine is a suburban department in north-central France that forms part of the western inner ring around Paris and is known for hosting the major business district of La Défense.
  • C. Levallois-Perret
    Levallois-Perret is a densely populated suburban commune just northwest of central Paris, known for its residential character and proximity to the capital.
  • D. Aire-la-Ville
    Aire-la-Ville is a small municipality in the canton of Geneva in southwestern Switzerland, situated along the Rhône River.
  • E. Yvelines
    Yvelines is a department in north-central France, west of Paris, known for the Palace of Versailles and its mix of historic towns, forests, and affluent suburbs.
  • 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0ec46b08190ae12de8b255eb71d completed March 7, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69af834e87b48190b3299c70a0679b47 completed March 10, 2026, 2:34 a.m.
Created at: March 4, 2026, 7:47 p.m.