Triple
T9573137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COPA |
E230976
|
entity |
| Predicate | usedByAirlineNetworkScope |
P16896
|
FINISHED |
| Object | extensive network across North America |
—
|
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: extensive network across North America | Statement: [COPA, usedByAirlineNetworkScope, extensive network across North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByAirlineNetworkScope Context triple: [COPA, usedByAirlineNetworkScope, extensive network across North America]
-
A.
airlineAllianceScope
Indicates the extent or coverage of an airline alliance’s operations or cooperation (e.g., regional vs. global).
-
B.
airlinesUse
chosen
Indicates that certain airlines operate, employ, or make use of a specified resource, service, or system.
-
C.
operatesAsRegionalCarrierFor
Indicates that one transportation company functions as a regional carrier on behalf of another, typically providing local or feeder services under the larger company’s brand or network.
-
D.
servesAirlineType
Indicates that a service provider (such as an airport, terminal, or facility) accommodates or operates flights for a specified type or category of airline.
-
E.
associatedAirlineType
Indicates a relationship where an airline is linked to a specific classification or type (e.g., carrier category or operational class).
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd998d79cc8190b94e5953915a5fa4 |
completed | April 1, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69ccd59b960c8190966a8870a2426bd5 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:04 p.m.