Triple
T37006966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albano Machado Airport |
E915827
|
entity |
| Predicate | isMainPublicAirportFor |
P120245
|
FINISHED |
| Object | Huambo |
—
|
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: Huambo | Statement: [Albano Machado Airport, isMainPublicAirportFor, Huambo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMainPublicAirportFor Context triple: [Albano Machado Airport, isMainPublicAirportFor, Huambo]
-
A.
hasPrimaryAirportRole
chosen
Indicates that an entity holds the main or principal functional role associated with an airport.
-
B.
isMajorRegionalAirportFor
Indicates that an airport serves as a primary or significant air travel hub for a particular region.
-
C.
isMainAirportStopFor
Indicates that a given airport serves as the primary or principal stop for a specified route, service, or transportation connection.
-
D.
isOnlyInternationalAirportOf
Indicates that an airport is the single, unique international airport serving a particular city, region, or country.
-
E.
isPublicAirport
Indicates that an airport is open for use by the general public rather than restricted to private or military operations.
- 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_69f76e90ed548190b187d2475f5c807d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.