Triple
T1037701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PHX |
E22401
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object | Runway 7R/25L |
E130092
|
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 7R/25L | Statement: [PHX, hasRunway, Runway 7R/25L]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 7R/25L Context triple: [PHX, hasRunway, Runway 7R/25L]
-
A.
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.
-
B.
Runway 07R/25L
chosen
Runway 07R/25L is a primary east–west runway at Phoenix Sky Harbor International Airport used for both commercial and general aviation operations.
-
C.
Runway 07L/25R
Runway 07L/25R is a designated airport runway forming one of a pair of parallel runways used for aircraft takeoffs and landings.
-
D.
Runway 4R/22L
Runway 4R/22L is one of the primary paved runways at Boston Logan International Airport, used for handling a significant share of the airport’s commercial air traffic.
-
E.
Runway 8L/26R
Runway 8L/26R is one of the primary parallel runways at Ontario International Airport in California, used for handling a mix of commercial, cargo, and general aviation 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b82b3ef08190bcd24845b4418d47 |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f29385c8190a42dc7dbac592221 |
completed | March 7, 2026, 7:40 p.m. |
Created at: March 1, 2026, 7:41 p.m.