Triple
T8880332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilha da Barreta |
E211392
|
entity |
| Predicate | recreationRule |
P18323
|
FINISHED |
| Object | subject to environmental protection regulations |
—
|
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: subject to environmental protection regulations | Statement: [Ilha da Barreta, recreationRule, subject to environmental protection regulations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recreationRule Context triple: [Ilha da Barreta, recreationRule, subject to environmental protection regulations]
-
A.
recreationRegulation
chosen
Indicates rules, restrictions, or guidelines governing recreational activities or leisure use of a place or resource.
-
B.
recreationManagementGoal
Indicates a management objective or intended outcome related to how recreational activities are planned, controlled, or guided.
-
C.
hasRecreationPurpose
Indicates that something is used or intended to be used for recreational or leisure activities.
-
D.
hasRecreationType
Indicates that an entity is associated with or offers a particular type or category of recreational activity.
-
E.
hasRecreationClassification
Indicates that an entity is assigned a specific type or category of recreational use or activity.
- 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61677c9c8190aa09dc2a05d4cf95 |
completed | April 1, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2956788190a311c647b4da17a6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:52 p.m.