Triple
T21382011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trancura River |
E527381
|
entity |
| Predicate | hasRapidsDifficulty |
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: [Trancura River, hasRapidsDifficulty, class III]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRapidsDifficulty Context triple: [Trancura River, hasRapidsDifficulty, class III]
-
A.
hasRapids
Indicates that a body of water contains sections of fast-flowing, turbulent water known as rapids.
-
B.
hasTrailDifficulty
Indicates the level of challenge or effort required to traverse a particular trail or route.
-
C.
hasRecreationDifficulty
Indicates the level of challenge or effort required to engage in a particular recreational activity or experience.
-
D.
hasDifficultyClass
Indicates that something (such as a task, challenge, or problem) is associated with a specific level of difficulty or complexity.
-
E.
hasRaftingDifficulty
chosen
Indicates that an entity is associated with a specific level of rafting difficulty.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0cf89f08190bd7c0d552232d948 |
completed | April 22, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:12 p.m.