Triple
T11022505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exuma Cays Land and Sea Park |
E260523
|
entity |
| Predicate | collectingAllowed |
P96627
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Exuma Cays Land and Sea Park, collectingAllowed, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectingAllowed Context triple: [Exuma Cays Land and Sea Park, collectingAllowed, no]
-
A.
canCollect
Indicates that one entity has the ability or permission to gather, receive, or take possession of another entity.
-
B.
canIncidentallyCollect
Indicates that one entity is able to gather or obtain another entity or its data as an unintended or secondary consequence of some primary action or process.
-
C.
collectingStatus
Indicates the current state or phase of an ongoing collection process or activity.
-
D.
collectedAs
Indicates that one entity has been gathered, acquired, or assembled as part of another entity, such as a collection, set, or group.
-
E.
collectingField
Indicates that one entity serves as the field or location where another entity gathers, accumulates, or collects items, data, or resources.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797bd88188190a644adc9283cabb8 |
completed | April 9, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69d72e995e008190bbffb314129ed0cd |
completed | April 9, 2026, 4:44 a.m. |
| PDg | Predicate description generation | batch_69d732242fdc8190be77d1f730a42935 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:25 p.m.