Triple
T27395805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 14/32 |
E691680
|
entity |
| Predicate | isMainCommercialRunwayOf |
P8867
|
FINISHED |
| Object | Charles M. Schulz–Sonoma County Airport |
—
|
NE NERFINISHED |
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: Charles M. Schulz–Sonoma County Airport | Statement: [Runway 14/32, isMainCommercialRunwayOf, Charles M. Schulz–Sonoma County Airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMainCommercialRunwayOf Context triple: [Runway 14/32, isMainCommercialRunwayOf, Charles M. Schulz–Sonoma County Airport]
-
A.
isPrimaryRunwayOf
chosen
Indicates that a runway serves as the main or principal runway for a particular airport or airfield.
-
B.
isRunwayOf
Indicates that a physical runway is a component or facility belonging to, used by, or officially associated with a particular airport or airfield.
-
C.
hasRunwaysAt
Indicates that a location or facility possesses one or more runways situated at that place.
-
D.
isOnlyCommercialAirportIn
Indicates that an airport is the sole commercial airport serving a specified geographic area or region.
-
E.
isCentralRunway
Indicates that a given runway serves as the primary or central runway within an airport or airfield layout.
- F. None of above.
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_69ef5204f7048190bf226a129858fc5b |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f6359e3d3c81909814e2f0a7fb0ea9 |
completed | May 2, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 12:27 p.m.