Triple
T6774832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sun Kosi |
E155129
|
entity |
| Predicate | hasRaftingDifficulty |
P73199
|
FINISHED |
| Object | Class III |
—
|
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: Class III | Statement: [Sun Kosi, hasRaftingDifficulty, Class III]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRaftingDifficulty Context triple: [Sun Kosi, hasRaftingDifficulty, Class III]
-
A.
reachedRiver
Indicates that an entity has arrived at or come into contact with a river as a result of movement or travel.
-
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.
canoeingVenue
Indicates that a location serves as a site or facility where canoeing activities take place.
-
D.
hasBoatRamp
Indicates that a location provides a designated ramp or launch area for putting boats into the water or taking them out.
-
E.
hasNumberOfWaterfalls
Indicates the quantity of waterfalls associated with a given entity.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d24ddaf08190baffbff991eeb458 |
completed | March 27, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69c6d094105881909c5806eb4afa6306 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d1d5f1908190989efc8a2d18c965 |
completed | March 27, 2026, 6:52 p.m. |
Created at: March 27, 2026, 2:13 p.m.