Triple

T15454841
Position Surface form Disambiguated ID Type / Status
Subject Yolet E371743 entity
Predicate hasPostalSystem P14969 FINISHED
Object La Poste E1110595 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: La Poste | Statement: [Yolet, hasPostalSystem, La Poste]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Poste
Context triple: [Yolet, hasPostalSystem, La Poste]
  • A. La Poste (France) chosen
    La Poste (France) is the French national postal service company, responsible for mail delivery, parcel services, banking, and related logistics across France and abroad.
  • B. Swiss Post
    Swiss Post is Switzerland’s national postal service provider, responsible for mail delivery, logistics, and various financial and digital services across the country.
  • C. Casa de Correos
    Casa de Correos is a historic 18th-century government building in Madrid, Spain, best known for its clock tower that marks the traditional New Year’s Eve countdown in Puerta del Sol.
  • D. French postal administration
    The French postal administration is the national authority responsible for managing and regulating postal services in France, including overseeing honors and distinctions related to postal service.
  • E. Postau
    Postau is a small municipality in Lower Bavaria, Germany, situated in the rural district of Landshut.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f131b1481909ff099c3b844ee07 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21b5e1788190bdc8182822f25fa1 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:31 a.m.