Triple
T23816567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timber Mountain Log Ride |
E589110
|
entity |
| Predicate | waterMedium |
P27141
|
FINISHED |
| Object | fresh water |
—
|
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: fresh water | Statement: [Timber Mountain Log Ride, waterMedium, fresh water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterMedium Context triple: [Timber Mountain Log Ride, waterMedium, fresh water]
-
A.
waterFilled
Indicates that one entity is filled or occupied with water, typically to a certain level or capacity.
-
B.
waterContains
Indicates that a body or volume of water holds, includes, or has within it a specified substance, object, or entity.
-
C.
waterSport
Indicates participation in or association with a sport or recreational activity that takes place on or in water.
-
D.
waterbodyUsedFor
Indicates that a particular water body is utilized for a specific purpose, activity, or function.
-
E.
waterCondition
chosen
Indicates the state or quality of water affecting an entity, such as its cleanliness, safety, or suitability for a particular use.
- 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_69e25d18619081909c7fb89d8926f14a |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c7ab4e8881908f2711e9d62cad98 |
completed | April 29, 2026, 8:56 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:58 p.m.