Triple
T5551745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suisun Slough |
E145541
|
entity |
| Predicate | hasRecreationAccessPoint |
P62286
|
FINISHED |
| Object | Suisun City public marina |
—
|
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: Suisun City public marina | Statement: [Suisun Slough, hasRecreationAccessPoint, Suisun City public marina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecreationAccessPoint Context triple: [Suisun Slough, hasRecreationAccessPoint, Suisun City public marina]
-
A.
hasRecreationFacility
Indicates that one entity provides, contains, or is equipped with a recreational facility for use by another entity or by the public.
-
B.
recreationAccessPoint
chosen
Indicates a location or facility that serves as an entry or starting point for engaging in recreational activities.
-
C.
hasRecreationalArea
Indicates that an entity includes, provides, or is associated with a designated space intended for leisure or recreational activities.
-
D.
isRecreationalArea
Indicates that a place or space is designated and used primarily for leisure, relaxation, or recreational activities.
-
E.
hasRecreationalRoute
Indicates that an entity is associated with or includes a route intended for recreational activities such as walking, cycling, or hiking.
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fe3e7788190aa5361b083197c17 |
completed | March 22, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69c01b0e72f08190bf705d8fe1639401 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:35 p.m.