Triple

T14920978
Position Surface form Disambiguated ID Type / Status
Subject A5 E371506 entity
Predicate passesNear P416 FINISHED
Object Pont-Saint-Martin E444481 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: Pont-Saint-Martin | Statement: [A5, passesNear, Pont-Saint-Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pont-Saint-Martin
Context triple: [A5, passesNear, 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. 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."
  • C. 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.
  • D. 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.
  • E. Le Pecq
    Le Pecq is a suburban commune in the Yvelines department of north-central France, located on the Seine River to the west of Paris.
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded63121e48190b54eb2546acc3c93 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fee5e0ed148190bd357be922fe8319 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 2:33 a.m.