Triple

T16005728
Position Surface form Disambiguated ID Type / Status
Subject Terminal 3–Roissypôle CDGVAL station E388212 entity
Predicate partOf P40 FINISHED
Object CDGVAL E86819 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 | Statement: [Terminal 3–Roissypôle CDGVAL station, partOf, CDGVAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CDGVAL
Context triple: [Terminal 3–Roissypôle CDGVAL station, partOf, CDGVAL]
  • A. CDGVAL chosen
    CDGVAL is the automated light-rail shuttle system that links the terminals and key facilities within Paris Charles de Gaulle Airport.
  • B. CDG
    CDG is the IATA airport code for Charles de Gaulle Airport, the main international airport serving Paris and one of Europe’s busiest air hubs.
  • C. CGD
    CGD is the IATA airport code for Changde Taohuayuan Airport in Changde, Hunan Province, China.
  • D. CGR
    CGR is the IATA airport code for Campo Grande International Airport in Campo Grande, Brazil.
  • E. GDEcD
    GDEcD is the U.S. state of Georgia’s lead agency for promoting economic development, including business recruitment, trade, tourism, and film and entertainment industries.
  • 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_69ffcf20c5348190b42c2e01e8ef5ea8 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.