Triple
T5634184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Cèdres generating station |
E147904
|
entity |
| Predicate | watercourseUsedFor |
P44236
|
FINISHED |
| Object | power generation |
—
|
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: power generation | Statement: [Les Cèdres generating station, watercourseUsedFor, power generation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: watercourseUsedFor Context triple: [Les Cèdres generating station, watercourseUsedFor, power generation]
-
A.
waterbodyUsedFor
chosen
Indicates that a particular water body is utilized for a specific purpose, activity, or function.
-
B.
watercourseId
Indicates the identifier that uniquely associates an entity with a specific watercourse (such as a river, stream, or canal).
-
C.
watercourseName
Indicates the name assigned to a river, stream, or other flowing body of water in the relationship.
-
D.
sourceOfWatercourse
Indicates that one entity is the origin or starting point from which a watercourse (such as a river or stream) begins or flows.
-
E.
hasWatercourseType
Indicates the specific kind or category of watercourse (such as river, stream, or canal) associated with an entity.
- 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_69c00907bc8881909ed760d3ed73ef35 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0226118548190877793dadf6cacba |
completed | March 22, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69c01b1f12ec8190b4b9d9ee31cabe19 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:41 p.m.