Triple

T11095475
Position Surface form Disambiguated ID Type / Status
Subject LOT Cargo E262365 entity
Predicate ICAOAirlineCode P26821 FINISHED
Object LOT E262362 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: LOT | Statement: [LOT Cargo, ICAOAirlineCode, LOT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LOT
Context triple: [LOT Cargo, ICAOAirlineCode, LOT]
  • A. LOT chosen
    LOT is the national flag carrier airline of Poland, headquartered in Warsaw and operating an extensive network of domestic and international flights.
  • B. Lot
    Lot is a department in southwestern France known for its picturesque river valleys, medieval villages, and prehistoric cave art.
  • C. Lot
    Lot is a river in southwestern France known for flowing through scenic valleys and historic towns before joining the Garonne.
  • D. Lot
    Lot is a prophet in the Abrahamic tradition known for preaching against the immoral practices of his people and for the divine destruction of the cities of Sodom and Gomorrah.
  • E. LOTS
    LOTS is the stock ticker symbol for Lotus Development Corporation, a pioneering software company best known for its Lotus 1-2-3 spreadsheet application.
  • 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: ICAOAirlineCode
Context triple: [LOT Cargo, ICAOAirlineCode, LOT]
  • A. airlineICAOcallsign
    Indicates the official ICAO radio callsign phrase used to identify a specific airline in air traffic communications.
  • B. ICAOcode
    Indicates that an entity is identified by a specific four-letter airport or aerodrome code assigned by the International Civil Aviation Organization (ICAO).
  • C. IATAcode
    Indicates the three-letter IATA airport or airline code assigned to the entity.
  • D. associatedAirlineICAOCode chosen
    Indicates the ICAO airline code that is linked to or used by the given entity (such as a flight, route, or service).
  • E. icaoCodeType
    Indicates that the relationship specifies or classifies the ICAO (International Civil Aviation Organization) code associated with an entity.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a0897188190b6c293b44990b3d4 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e462e5c08c8190bba2e3c8ec82051b completed April 19, 2026, 5:06 a.m.
PD Predicate disambiguation batch_69d7441aa3548190b92dbde57841c135 completed April 9, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:27 p.m.