Triple
T37549544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Airlines |
E933554
|
entity |
| Predicate | operatedInternationalRoutes |
P28884
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Western Airlines, operatedInternationalRoutes, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedInternationalRoutes Context triple: [Western Airlines, operatedInternationalRoutes, true]
-
A.
majorInternationalRoutesTo
Indicates that there are significant, globally important transportation routes (such as air, sea, or land corridors) connecting one location to another.
-
B.
isOneOfBusiestInternationalRoutes
Indicates that a route ranks among the most heavily used or frequently traveled international connections.
-
C.
operatesInternationally
chosen
Indicates that the entity conducts activities or business across national borders in multiple countries.
-
D.
primaryAirlineRoutesTo
Indicates that one airline serves as the main carrier operating direct or regular flight routes to a particular destination or airport.
-
E.
operatesLongHaulRouteFrom
Indicates that an entity (typically a transportation carrier) runs long-distance routes originating from a specified location.
- 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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a030713bd2881908bcc69e7d1e9fd09 |
completed | May 12, 2026, 10:55 a.m. |
| PD | Predicate disambiguation | batch_6a0304c29abc819085ffd17ab9a8c844 |
completed | May 12, 2026, 10:45 a.m. |
Created at: May 3, 2026, 4:17 p.m.