Triple

T2488875
Position Surface form Disambiguated ID Type / Status
Subject Université Paris-Saclay E43954 entity
Predicate campus P269 FINISHED
Object Plateau de Saclay E258284 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: Plateau de Saclay | Statement: [Université Paris-Saclay, campus, Plateau de Saclay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plateau de Saclay
Context triple: [Université Paris-Saclay, campus, Plateau de Saclay]
  • A. Meudon
    Meudon is a suburban commune in the southwestern outskirts of Paris, France, known historically as a residential area for artists, intellectuals, and the French elite.
  • B. Orsay chosen
    Orsay is a commune in the southern suburbs of Paris, France, known for hosting part of the Paris-Saclay University and several major scientific research institutions.
  • C. Rocquencourt
    Rocquencourt is a commune in north-central France that historically hosted key NATO military command facilities.
  • D. Place Jussieu
    Place Jussieu is a public square in central Paris best known for hosting the Jussieu campus of Sorbonne University and several major scientific institutions.
  • E. Noisy-le-Grand campus
    Noisy-le-Grand campus is a primary site of the ESIEE Paris engineering school located in the eastern suburbs of Paris, France.
  • 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd179c44881909cd6c7626cadaf10 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17bdb5b88190b99d03d75a8d4774 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:45 p.m.