Triple

T16005631
Position Surface form Disambiguated ID Type / Status
Subject Le Bus Direct E388209 entity
Predicate providedConnectionBetween P845 FINISHED
Object Paris Charles de Gaulle Airport and central Paris 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: Paris Charles de Gaulle Airport and central Paris | Statement: [Le Bus Direct, providedConnectionBetween, Paris Charles de Gaulle Airport and central Paris]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: providedConnectionBetween
Context triple: [Le Bus Direct, providedConnectionBetween, Paris Charles de Gaulle Airport and central Paris]
  • A. connectionTo
    Indicates a relationship in which one entity is linked, associated, or otherwise related to another entity.
  • B. connectsTo chosen
    Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
  • C. partlyConnectedBy
    Indicates that two entities are linked or joined by something in an incomplete, partial, or not fully continuous way.
  • D. ridgeConnection
    Indicates a structural relationship where one ridge is connected or linked to another ridge, forming a continuous or associated ridge feature.
  • E. compatibleConnection
    Indicates that two entities can be connected or used together without conflict, supporting proper operation or interaction.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e173b3bf6c81909230170e833d7ce7 completed April 16, 2026, 11:41 p.m.
PD Predicate disambiguation batch_69e142dc081c819082527e3fa8773460 completed April 16, 2026, 8:13 p.m.
Created at: April 10, 2026, 4:55 a.m.