Triple

T8037234
Position Surface form Disambiguated ID Type / Status
Subject Runway A 16L/34R E187137 entity
Predicate alsoKnownAs P39 FINISHED
Object Runway 16L/34R unclear NED1 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: Runway 16L/34R | Statement: [Runway A 16L/34R, alsoKnownAs, Runway 16L/34R]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway 16L/34R
Context triple: [Runway A 16L/34R, alsoKnownAs, Runway 16L/34R]
  • A. Runway 16L/34R
    Runway 16L/34R is a primary paved runway at Reno–Tahoe International Airport used for commercial and general aviation takeoffs and landings.
  • B. Runway 16L/34R
    Runway 16L/34R is a primary paved runway used for aircraft takeoffs and landings at Jackson–Medgar Wiley Evers International Airport in Mississippi.
  • C. Runway 16L/34R
    Runway 16L/34R is one of the primary paved runways used for aircraft takeoffs and landings at King Fahd International Airport in Saudi Arabia.
  • D. Runway 16L/34R
    Runway 16L/34R is a primary paved runway at Yelizovo Airport in Russia’s Kamchatka region, used for handling both domestic and international air traffic.
  • E. Runway 16L/34R
    Runway 16L/34R is a primary paved runway at King Abdulaziz International Airport in Jeddah, Saudi Arabia, used for handling commercial air traffic operations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f188e1c8190b92760c91d31f2df completed March 31, 2026, 3:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce01e53c4c81908cef500bc7f82b1c completed April 2, 2026, 5:43 a.m.
Created at: March 30, 2026, 5:22 p.m.