Triple

T525272
Position Surface form Disambiguated ID Type / Status
Subject CDG E10902 entity
Predicate otherParisAirport P7892 FINISHED
Object ORY E10907 NE FINISHED

How this triple was built (3 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: ORY | Statement: [CDG, otherParisAirport, ORY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ORY
Context triple: [CDG, otherParisAirport, ORY]
  • A. ORY chosen
    ORY is the three-letter IATA airport code for Paris Orly Airport, a major international airport serving the Paris metropolitan area in France.
  • B. OR
    OR is the official two-letter United States Postal Service abbreviation for the state of Oregon.
  • C. WR
    WR is the abbreviation for the German Council of Science and Humanities, a key advisory body that counsels the German federal and state governments on science, research, and higher education policy.
  • D. RE
    RE is the common abbreviation for the British Army’s Corps of Royal Engineers, responsible for military engineering and technical support.
  • E. REN
    REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: otherParisAirport
Context triple: [CDG, otherParisAirport, ORY]
  • A. otherMainParisAirport chosen
    Indicates that one airport serves as an alternative primary airport to another in the Paris area.
  • B. wasMainParisAirportBefore
    Indicates that an airport served as the primary or principal airport for Paris during a specified earlier time period.
  • C. hubAirport
    Indicates that an airport serves as a primary hub or central operating base for a particular airline or carrier.
  • D. airportRankInFranceByTraffic
    Indicates the relative position of an airport in France when airports are ordered by the volume of passenger or cargo traffic they handle.
  • E. airportOfficialName
    Indicates the officially designated full name of an airport as recognized by authorities or governing bodies.
  • F. None of above.

Provenance (4 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1b7f448819087e5e7f3b37d7142 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b23f97448190bd85a8c85d338039 completed March 1, 2026, 9:40 p.m.
PD Predicate disambiguation batch_69a2f0198ecc8190883849e5a8245963 completed Feb. 28, 2026, 1:39 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.