Triple

T16005739
Position Surface form Disambiguated ID Type / Status
Subject Terminal 3–Roissypôle CDGVAL station E388212 entity
Predicate servedBy P82 FINISHED
Object CDGVAL line E404794 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: CDGVAL line | Statement: [Terminal 3–Roissypôle CDGVAL station, servedBy, CDGVAL line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CDGVAL line
Context triple: [Terminal 3–Roissypôle CDGVAL station, servedBy, CDGVAL line]
  • A. CDGVAL Line 1 chosen
    CDGVAL Line 1 is an automated people mover route at Paris Charles de Gaulle Airport that connects key terminals and facilities within the airport complex.
  • B. CDGVAL Line 2
    CDGVAL Line 2 is an automated people mover route at Paris Charles de Gaulle Airport that connects key terminals and facilities as part of the airport’s internal transit system.
  • C. C Line
    The C Line is a local New York City Subway service that runs along the Eighth Avenue Line in Manhattan and through parts of Brooklyn and Queens.
  • D. C Line
    The C Line is a light rail route in the Los Angeles Metro Rail system that runs primarily along the I-105 freeway corridor, connecting coastal and inland communities in the South Bay region.
  • E. C Line
    The C Line was a light rail service in Denver, Colorado, that operated as part of the Regional Transportation District’s rail network.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157ff33d88190b5a92f7ff70b24eb completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3dec0c0819099b9007ad0fc6fb4 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.