Triple

T14987415
Position Surface form Disambiguated ID Type / Status
Subject Grand Paris Express E373739 entity
Predicate serves P98 FINISHED
Object Saclay plateau E336074 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: Saclay plateau | Statement: [Grand Paris Express, serves, Saclay plateau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saclay plateau
Context triple: [Grand Paris Express, serves, Saclay plateau]
  • A. Plateau de Saclay fringe
    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.
  • B. 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.
  • C. Saclay chosen
    Saclay is a French commune in the Île-de-France region, known for hosting part of the Paris-Saclay research and university cluster.
  • D. Larzac plateau
    The Larzac plateau is a high limestone karst plateau in southern France, known for its dramatic landscapes, sheep farming, and historic role in environmental and anti-military activism.
  • E. Montpellier plain
    The Montpellier plain is a low-lying area surrounding the city of Montpellier in southern France, characterized by its agricultural landscapes and Mediterranean climate.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7007588819095bb1de029a6f2eb completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8c036bfc8190b01bf2128403f557 completed May 9, 2026, 1:21 a.m.
Created at: April 10, 2026, 2:53 a.m.