Triple
T15765247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NGO |
E382202
|
entity |
| Predicate | associatedAirportPrimaryHubFor |
P120243
|
FINISHED |
| Object | All Nippon Airways (regional hub) |
—
|
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: All Nippon Airways (regional hub) | Statement: [NGO, associatedAirportPrimaryHubFor, All Nippon Airways (regional hub)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedAirportPrimaryHubFor Context triple: [NGO, associatedAirportPrimaryHubFor, All Nippon Airways (regional hub)]
-
A.
associatedAirport
Indicates a relationship where an entity is linked or connected to a specific airport, typically as its relevant or corresponding airport.
-
B.
operatorSecondaryHubAirportIATA
Indicates the IATA airport code of a secondary hub airport used by the operator.
-
C.
associatedAirportServes
Indicates that a given airport provides service to, or is used by, the associated entity (such as a city, region, or facility).
-
D.
operatorPrimaryHubAirportCode
Indicates the airport code of the main or primary hub used by the operator.
-
E.
secondaryHubOfAirline
Indicates that an airport serves as a secondary operational hub for a particular airline, supporting but not replacing its primary hub activities.
- F. None of above. chosen
Provenance (4 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b8154881908afe5191e6424f15 |
completed | April 16, 2026, 3 a.m. |
| PD | Predicate disambiguation | batch_69e00531e7ac8190a4190cce4f7fab4c |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e03cc871d0819085c0fc54de7984ff |
completed | April 16, 2026, 1:35 a.m. |
Created at: April 10, 2026, 4:47 a.m.