Triple
T4633590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 12R/30L |
E101474
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Runway 12R |
E176567
|
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 12R | Statement: [Runway 12R/30L, alsoKnownAs, Runway 12R]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 12R Context triple: [Runway 12R/30L, alsoKnownAs, Runway 12R]
-
A.
Runway 12R/30L
chosen
Runway 12R/30L is one of the primary paved runways at Minneapolis–Saint Paul International Airport, used for handling a significant share of the airport’s commercial air traffic.
-
B.
Runway 12R/30L
Runway 12R/30L is a principal paved runway used for military and aviation operations at Zaragoza Air Base in Spain.
-
C.
Runway 12R/30L
Runway 12R/30L is a primary paved runway used for aircraft takeoffs and landings at Montpellier-Méditerranée Airport in southern France.
-
D.
Runway 12R/30L
Runway 12R/30L is one of the primary paved runways used for aircraft takeoffs and landings at Nikola Tesla International Airport in Belgrade, Serbia.
-
E.
Runway 12R/30L
Runway 12R/30L is a primary paved runway at San Jose International Airport used for commercial and general aviation takeoffs and landings.
- 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_69bd43d2f1c081908cd4b7ec48ecc73d |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a5d0de881909baacc5b991f5b53 |
completed | March 20, 2026, 2:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bf36a45c81909f5161f30e970fef |
completed | March 23, 2026, 4:19 a.m. |
Created at: March 20, 2026, 1:13 p.m.