Triple
T11843655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Caicos Airport |
E281716
|
entity |
| Predicate | servesSecondaryPurpose |
P2114
|
FINISHED |
| Object | supporting tourism and local economy |
—
|
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: supporting tourism and local economy | Statement: [South Caicos Airport, servesSecondaryPurpose, supporting tourism and local economy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesSecondaryPurpose Context triple: [South Caicos Airport, servesSecondaryPurpose, supporting tourism and local economy]
-
A.
hasSecondaryUsage
Indicates that an entity is associated with an additional, non-primary function or purpose beyond its main intended use.
-
B.
secondaryTo
Indicates that one condition, event, or factor occurs as a consequence of, or is caused by, another primary condition, event, or factor.
-
C.
secondaryFunction
chosen
Indicates that an entity has an additional, supporting role or purpose beyond its primary function.
-
D.
notPrimarilyIntendedFor
Indicates that something is used or occurs in a way that is not its main or original purpose or target.
-
E.
laterPrimarilyUsedFor
Indicates that something was initially used for one purpose but, at a later time, came to be used mainly for another specified purpose.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a65a597c8190b09f57463b279afc |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a254a57481908a1e6ad97919c416 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.