Triple

T18456663
Position Surface form Disambiguated ID Type / Status
Subject SS26 E450918 entity
Predicate passesThrough P225 FINISHED
Object Pont-Saint-Martin NE NERFINISHED

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: Pont-Saint-Martin | Statement: [SS26, passesThrough, Pont-Saint-Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pont-Saint-Martin
Context triple: [SS26, passesThrough, Pont-Saint-Martin]
  • A. Pont-Saint-Martin chosen
    Pont-Saint-Martin is a small town in Italy’s Aosta Valley, known as a historic gateway to the region and for its ancient Roman bridge.
  • B. Saint-Paul-des-Landes
    Saint-Paul-des-Landes is a commune in the Cantal department in south-central France, known for its rural character within the Auvergne region.
  • C. Pont-Audemer
    Pont-Audemer is a historic market town in northern France known for its picturesque canals and half-timbered houses, often called the "Norman Venice."
  • D. Noisy-le-Grand
    Noisy-le-Grand is a suburban commune in the eastern outskirts of Paris, France, known for its modern architecture and role as a business and educational hub within the Marne-la-Vallée area.
  • E. Ville-la-Grand
    Ville-la-Grand is a commune in the Haute-Savoie department of southeastern France, situated near the Swiss border in the urban area of Annemasse.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264ce5948190b57baa2ea71297a9 completed April 19, 2026, 7 p.m.
Created at: April 10, 2026, 11:31 a.m.