Triple

T4718854
Position Surface form Disambiguated ID Type / Status
Subject Toulouse-Blagnac Airport E104713 entity
Predicate hasRunway P105 FINISHED
Object Runway 14L/32R
Runway 14L/32R is one of the primary paved runways at Toulouse-Blagnac Airport in France, used for commercial and test flight operations.
E573299 NE FINISHED

How this triple was built (4 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: Runway 14L/32R | Statement: [Toulouse-Blagnac Airport, hasRunway, Runway 14L/32R]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runway 14L/32R
Context triple: [Toulouse-Blagnac Airport, hasRunway, Runway 14L/32R]
  • A. Runway 14L/32R
    Runway 14L/32R is one of the primary paved runways at Moffett Field in California, used for military, research, and general aviation operations.
  • B. Runway 14R/32L
    Runway 14R/32L is a primary paved runway at Moscow’s Domodedovo International Airport used for handling commercial air traffic.
  • C. Runway 14R/32L
    Runway 14R/32L is a primary paved runway at Moffett Field in California, used for military, research, and general aviation operations.
  • D. Runway 14R/32L
    Runway 14R/32L is a primary paved runway used for aircraft takeoffs and landings at Osaka International Airport in Japan.
  • E. Runway 14R/32L
    Runway 14R/32L is a primary paved runway used for aircraft takeoffs and landings at Eppley Airfield in Omaha, Nebraska.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Runway 14L/32R
Triple: [Toulouse-Blagnac Airport, hasRunway, Runway 14L/32R]
Generated description
Runway 14L/32R is one of the primary paved runways at Toulouse-Blagnac Airport in France, used for commercial and test flight operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Runway 14L/32R
Target entity description: Runway 14L/32R is one of the primary paved runways at Toulouse-Blagnac Airport in France, used for commercial and test flight operations.
  • A. Runway 14L/32R
    Runway 14L/32R is one of the primary paved runways at Moffett Field in California, used for military, research, and general aviation operations.
  • B. Runway 14R/32L
    Runway 14R/32L is a primary paved runway at Moffett Field in California, used for military, research, and general aviation operations.
  • C. Runway 14R/32L
    Runway 14R/32L is a primary paved runway used for aircraft takeoffs and landings at Osaka International Airport in Japan.
  • D. Runway 14R/32L
    Runway 14R/32L is a primary paved runway used for aircraft takeoffs and landings at Eppley Airfield in Omaha, Nebraska.
  • E. Runway 14R/32L
    Runway 14R/32L is one of the main paved runways at Toulouse-Blagnac Airport in France, used for commercial and test flights including those of Airbus aircraft.
  • F. None of above. chosen

Provenance (5 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd642779a08190b01e588d515cf498 completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141085da88190bf5cd0a90914f929 completed March 23, 2026, 1:32 p.m.
NEDg Description generation batch_69c147512a8081908d7d5fe1b1af8271 completed March 23, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69c147d47ea48190aa888b5185eea9c3 completed March 23, 2026, 2:01 p.m.
Created at: March 20, 2026, 1:18 p.m.