Triple
T18472654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ponta do Sol |
E451339
|
entity |
| Predicate | Ponta do Sol Airport |
P131783
|
FINISHED |
| Object | defunct |
—
|
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: defunct | Statement: [Ponta do Sol, Ponta do Sol Airport, defunct]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Ponta do Sol Airport Context triple: [Ponta do Sol, Ponta do Sol Airport, defunct]
-
A.
hasInternationalAirport
Indicates that a place possesses an airport that handles international flights and services cross-border air traffic.
-
B.
isOnlyInternationalAirportOf
Indicates that an airport is the single, unique international airport serving a particular city, region, or country.
-
C.
airportIsland
Indicates that an airport is located on, or associated with, an island.
-
D.
airportOfficialName
Indicates the officially designated full name of an airport as recognized by authorities or governing bodies.
-
E.
parentAirport
Indicates that one airport serves as the primary or overarching facility from which another, subsidiary or associated airport is derived or managed.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e530617e48819091240d4405e53aaa |
completed | April 19, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69e469d671088190b619de96ea6f92ab |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:34 a.m.