Triple

T16343277
Position Surface form Disambiguated ID Type / Status
Subject Paris–Bordeaux high-speed rail corridor E396860 entity
Predicate openedSectionIncludes P40024 FINISHED
Object LGV Sud Europe Atlantique opening in 2017 LITERAL 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: LGV Sud Europe Atlantique opening in 2017 | Statement: [Paris–Bordeaux high-speed rail corridor, openedSectionIncludes, LGV Sud Europe Atlantique opening in 2017]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: openedSectionIncludes
Context triple: [Paris–Bordeaux high-speed rail corridor, openedSectionIncludes, LGV Sud Europe Atlantique opening in 2017]
  • A. openedInSections chosen
    Indicates that something has been opened or made accessible in multiple distinct sections or parts.
  • B. openedInSection
    Indicates that something was opened or initiated within a specific section or subsection of a larger structure or context.
  • C. openedWithSection
    Indicates that something (such as a document, file, or resource) is opened starting from or via a specific section.
  • D. openedSectionBetween
    Indicates that one entity has created or established an open section, gap, or interval between itself and another entity.
  • E. sectionOpened
    Indicates that a particular section has been opened or expanded, making its contents visible or active.
  • F. None of above.

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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da0b88d081908a99cafa8e0ae5db completed April 18, 2026, 1:10 a.m.
PD Predicate disambiguation batch_69e226eba9b48190af6e80d3d1c2aed3 completed April 17, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:07 a.m.