Triple
T21347411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cangrejal River |
E526374
|
entity |
| Predicate | rapidsClass |
P66518
|
FINISHED |
| Object | Class II |
—
|
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 II | Statement: [Cangrejal River, rapidsClass, Class II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rapidsClass Context triple: [Cangrejal River, rapidsClass, Class II]
-
A.
hasRapids
Indicates that a body of water contains sections of fast-flowing, turbulent water known as rapids.
-
B.
hasRapidsClass
chosen
Indicates that a body of water or river segment is assigned a specific rapids difficulty classification.
-
C.
speedClass
Indicates the categorical speed level or range assigned to an entity based on how fast it moves or operates.
-
D.
academyClass
Indicates that an entity is a class, course, or instructional grouping offered within an academy or educational institution.
-
E.
recordSpeedCategory
Indicates the classification of an entity’s speed into a predefined category (e.g., slow, normal, fast) based on its recorded speed.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8ad2d01b481909d9b4813ff37905c |
completed | April 22, 2026, 11:12 a.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:56 p.m.