Triple

T23107377
Position Surface form Disambiguated ID Type / Status
Subject Terminal 3 (Paris Charles de Gaulle Airport) E576210 entity
Predicate formerName P65 FINISHED
Object Terminal T9 NE NERFINISHED

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: Terminal T9 | Statement: [Terminal 3 (Paris Charles de Gaulle Airport), formerName, Terminal T9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal T9
Context triple: [Terminal 3 (Paris Charles de Gaulle Airport), formerName, Terminal T9]
  • A. Terminal T9 chosen
    Terminal T9 was the former designation for what is now known as Terminal 3 at Paris Charles de Gaulle Airport, serving low-cost and charter airline operations.
  • B. Terminal T1
    Terminal T1 is one of the main passenger terminals at Gdańsk Lech Wałęsa Airport in Poland, serving travelers on domestic and international flights.
  • C. Terminal E
    Terminal E is one of the passenger terminals at Sheremetyevo International Airport in Moscow, serving international flights with modern facilities and connections to adjacent terminals.
  • D. Terminal E
    Terminal E is the international terminal at Boston Logan International Airport, serving most of the airport’s overseas flights and customs operations.
  • E. Terminal E
    Terminal E is one of the passenger terminals at Dallas/Fort Worth International Airport, serving various domestic and some international flights with multiple gates and amenities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e0c7b9c8190b1160485eae87c9b completed April 29, 2026, 4:50 a.m.
Created at: April 17, 2026, 3:58 p.m.