Triple
T7841991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sassagoula River |
E181826
|
entity |
| Predicate | watercraftAllowed |
P46319
|
FINISHED |
| Object | Disney-operated boats only |
—
|
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: Disney-operated boats only | Statement: [Sassagoula River, watercraftAllowed, Disney-operated boats only]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: watercraftAllowed Context triple: [Sassagoula River, watercraftAllowed, Disney-operated boats only]
-
A.
boatingAllowed
chosen
Indicates that operating or using boats is permitted in the specified area or context.
-
B.
usesCanoes
Indicates that one entity makes use of canoes as a means of transport, activity, or operation in relation to another entity or context.
-
C.
usesCrewedBoats
Indicates that an entity performs an activity or operation by employing boats that are crewed by people.
-
D.
waterSport
Indicates participation in or association with a sport or recreational activity that takes place on or in water.
-
E.
hazardLevelForBoating
Indicates the degree of risk or danger that current conditions pose specifically for boating activities.
- 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb14c6cbe48190b73df491de1004c3 |
completed | March 31, 2026, 12:26 a.m. |
| PD | Predicate disambiguation | batch_69cae91e98988190abd4ece75932c589 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:48 p.m.