Triple
T5910498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canaima Lagoon |
E131444
|
entity |
| Predicate | activityRestriction |
P10734
|
FINISHED |
| Object | swimming areas limited for safety |
—
|
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: swimming areas limited for safety | Statement: [Canaima Lagoon, activityRestriction, swimming areas limited for safety]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activityRestriction Context triple: [Canaima Lagoon, activityRestriction, swimming areas limited for safety]
-
A.
mayRestrictActivity
Indicates that one entity has the authority or ability to limit, constrain, or prohibit certain actions or behaviors of another entity.
-
B.
accessRestriction
Indicates a limitation or control placed on who or what can access a particular resource, location, or information.
-
C.
restrictsFacility
Indicates that one entity imposes limitations or controls on the use, access, or operation of a particular facility.
-
D.
notableRestriction
chosen
Indicates that there is a significant limitation, constraint, or prohibition that meaningfully affects the entity or its use.
-
E.
activityTime
Indicates the time period during which an activity occurs or is scheduled to take place.
- 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c048fc112c8190b905bf561c9de096 |
completed | March 22, 2026, 7:54 p.m. |
| PD | Predicate disambiguation | batch_69c03352208c8190968efed05a9fd416 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:59 p.m.