Triple

T13064781
Position Surface form Disambiguated ID Type / Status
Subject Gif-sur-Yvette E329291 entity
Predicate locatedOn P40 FINISHED
Object Plateau de Saclay area E338552 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 area | Statement: [Gif-sur-Yvette, locatedOn, Plateau de Saclay area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plateau de Saclay area
Context triple: [Gif-sur-Yvette, locatedOn, Plateau de Saclay area]
  • A. Saclay
    Saclay is a French commune in the Île-de-France region, known for hosting part of the Paris-Saclay research and university cluster.
  • B. Plateau de Saclay fringe chosen
    Plateau de Saclay fringe is a peripheral area of the Plateau de Saclay region in the southwestern suburbs of Paris, known for bordering communes such as Châtenay-Malabry.
  • C. Évry campus
    Évry campus is a site of the École des Mines de Paris located in the town of Évry, serving as one of the school’s main teaching and research facilities.
  • D. Sophia Antipolis campus
    Sophia Antipolis campus is a research and higher-education site located in the Sophia Antipolis technology park in southern France, known for its focus on science, engineering, and innovation.
  • E. Technopôle
    Technopôle is a tramway terminus in Rouen, France, serving a technology and business park area.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980e9bdfc81908eb90fb50597df64 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbe630808190a9a3481127bbaa86 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:59 p.m.