Triple

T1938631
Position Surface form Disambiguated ID Type / Status
Subject Tan Son Nhat International Airport E41501 entity
Predicate hasRunway P105 FINISHED
Object Runway 07L/25R E87182 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 07L/25R | Statement: [Tan Son Nhat International Airport, hasRunway, Runway 07L/25R]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runway 07L/25R
Context triple: [Tan Son Nhat International Airport, hasRunway, Runway 07L/25R]
  • A. Runway 07L/25R chosen
    Runway 07L/25R is a designated airport runway forming one of a pair of parallel runways used for aircraft takeoffs and landings.
  • B. Runway 07R/25L
    Runway 07R/25L is one of the primary east–west runways at Los Angeles International Airport, used for handling a high volume of commercial air traffic.
  • C. Runway 07R/25L
    Runway 07R/25L is a primary east–west runway at Phoenix Sky Harbor International Airport used for both commercial and general aviation operations.
  • D. Runway 05L/23R
    Runway 05L/23R is one of the main parallel runways at Manchester Airport, used for handling a high volume of commercial air traffic.
  • E. Runway 05R/23L
    Runway 05R/23L is one of the main parallel runways at Manchester Airport in the United Kingdom, used for handling commercial air traffic.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2c8be648190836580cec77a143f completed March 7, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6522bb448190ae50a476da53fcda completed March 9, 2026, 6:13 a.m.
Created at: March 4, 2026, 7:36 p.m.