Triple

T3215519
Position Surface form Disambiguated ID Type / Status
Subject Terminal 2B E67384 entity
Predicate hasIATACode P2569 FINISHED
Object CDG (airport code context) E10902 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: CDG (airport code context) | Statement: [Terminal 2B, hasIATACode, CDG (airport code context)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CDG (airport code context)
Context triple: [Terminal 2B, hasIATACode, CDG (airport code context)]
  • A. CDG chosen
    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.
  • B. CDG Terminal 2
    CDG Terminal 2 is a major multi-hall passenger terminal complex at Paris Charles de Gaulle Airport that serves numerous international and domestic flights, including many operated by Air France and its partners.
  • C. CDGVAL
    CDGVAL is the automated light-rail shuttle system that links the terminals and key facilities within Paris Charles de Gaulle Airport.
  • D. Aeroport
    Aeroport is a Moscow Metro station on the Zamoskvoretskaya Line, named after the nearby Khodynka Aerodrome area.
  • E. Cat Bi International Airport
    Cat Bi International Airport is a major commercial and military airport serving the coastal city of Hai Phong in northern Vietnam.
  • 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adab085a408190af9fb40acca31a5f completed March 8, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2623c90cc819085a94adfe3eb3f3f completed March 12, 2026, 6:50 a.m.
Created at: March 8, 2026, 3:07 p.m.