Triple

T3173567
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Palaiseau E66409 entity
Predicate contains P35 FINISHED
Object Paray-Vieille-Poste E15057 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: Paray-Vieille-Poste | Statement: [arrondissement of Palaiseau, contains, Paray-Vieille-Poste]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paray-Vieille-Poste
Context triple: [arrondissement of Palaiseau, contains, Paray-Vieille-Poste]
  • A. Paray-Vieille-Poste chosen
    Paray-Vieille-Poste is a commune in the southern suburbs of Paris, France, known for encompassing much of Orly Airport.
  • B. Paray-le-Monial
    Paray-le-Monial is a historic town in eastern France renowned for its Romanesque basilica and its role as a major Catholic pilgrimage site.
  • C. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • D. Vézac
    Vézac is a small French commune, best known for its picturesque Dordogne Valley setting and historic gardens such as the Jardins de Marqueyssac.
  • E. Saint-Placide
    Saint-Placide is a Paris Métro station located in the 6th arrondissement, serving the Saint-Germain-des-Prés area near the Saint-Sulpice church and surrounding shopping streets.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada66facf881908b9ec687d68ce91b completed March 8, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235edf7708190b79605a05baf1711 completed March 12, 2026, 3:41 a.m.
Created at: March 8, 2026, 3:06 p.m.