Triple
T8073576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wickiup Reservoir |
E188434
|
entity |
| Predicate | hasBoatRamps |
P57857
|
FINISHED |
| Object | multiple public boat ramps |
—
|
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: multiple public boat ramps | Statement: [Wickiup Reservoir, hasBoatRamps, multiple public boat ramps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBoatRamps Context triple: [Wickiup Reservoir, hasBoatRamps, multiple public boat ramps]
-
A.
hasBoatRamp
chosen
Indicates that a location provides a designated ramp or launch area for putting boats into the water or taking them out.
-
B.
hasNumberOfBoathouses
Indicates the quantity of boathouses associated with a given entity.
-
C.
hasBoatMoorings
Indicates that one entity provides or contains designated places where boats can be tied up or secured.
-
D.
hasPowerboatClub
Indicates that one entity hosts, contains, or is associated with a powerboat club.
-
E.
hasBoatRides
Indicates that one entity offers, provides, or features boat rides in relation to another entity.
- 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb404a98408190b6c8eecb95ad086d |
completed | March 31, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69cb049f1614819087360d1a4c6f0faa |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:27 p.m.