Triple
T12839104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pullman, Washington |
E306997
|
entity |
| Predicate | regionalAirportServes |
P17216
|
FINISHED |
| Object | Pullman, Washington and Moscow, Idaho |
—
|
LITERAL 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: Pullman, Washington and Moscow, Idaho | Statement: [Pullman, Washington, regionalAirportServes, Pullman, Washington and Moscow, Idaho]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionalAirportServes Context triple: [Pullman, Washington, regionalAirportServes, Pullman, Washington and Moscow, Idaho]
-
A.
airportServesAs
Indicates that an airport functions in a particular role or capacity (such as primary, secondary, or hub) for a specified area, organization, or service.
-
B.
associatedAirportServes
Indicates that a given airport provides service to, or is used by, the associated entity (such as a city, region, or facility).
-
C.
isMajorRegionalAirportFor
Indicates that an airport serves as a primary or significant air travel hub for a particular region.
-
D.
hasRegionalAirport
chosen
Indicates that a place or region possesses or is served by a regional airport.
-
E.
airportServed
Indicates that a particular airport provides service to, or is used for air travel to and from, a given location or area.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa08cd481909a946046ba63809f |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:35 p.m.