Triple
T3224868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rondout Reservoir |
E67599
|
entity |
| Predicate | boatingAllowed |
P46319
|
FINISHED |
| Object | yes, with DEP-issued permit and restrictions |
—
|
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: yes, with DEP-issued permit and restrictions | Statement: [Rondout Reservoir, boatingAllowed, yes, with DEP-issued permit and restrictions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boatingAllowed Context triple: [Rondout Reservoir, boatingAllowed, yes, with DEP-issued permit and restrictions]
-
A.
hazardLevelForBoating
Indicates the degree of risk or danger that current conditions pose specifically for boating activities.
-
B.
hasBoat
Indicates that one entity possesses, owns, or has control over a boat.
-
C.
hasBoatLine
Indicates that one entity operates, owns, or is associated with a particular boat service or boat route line.
-
D.
hasBoatRides
Indicates that one entity offers, provides, or features boat rides in relation to another entity.
-
E.
canoeingVenue
Indicates that a location serves as a site or facility where canoeing activities take place.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adae1c51a48190b4a395650528b5d8 |
completed | March 8, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0bb6c48190a0659c67d40ee37c |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada149df58819091173b14b49582b1 |
completed | March 8, 2026, 4:18 p.m. |
Created at: March 8, 2026, 3:08 p.m.