Triple
T9841623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jøssingfjord power station |
E239238
|
entity |
| Predicate | usesNaturalResource |
P90284
|
FINISHED |
| Object | 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: water | Statement: [Jøssingfjord power station, usesNaturalResource, water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesNaturalResource Context triple: [Jøssingfjord power station, usesNaturalResource, water]
-
A.
naturalResources
Indicates that one entity possesses, contains, or is a source of natural resources for another entity.
-
B.
hasNaturalResourceHistory
Indicates that there exists a documented history or record of natural resource–related events, uses, or conditions associated with an entity.
-
C.
usesProductionResourcesOf
Indicates that one entity makes use of the production resources (such as facilities, equipment, or infrastructure) that belong to or are operated by another entity.
-
D.
hasMarineResource
Indicates that one entity possesses, contains, or is associated with a marine (ocean or sea-based) resource in relation to another entity.
-
E.
hasGeologicResource
Indicates that an entity possesses, contains, or is associated with a particular geologic resource.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb34e3420819084bb31170e643cd0 |
completed | April 2, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cd03e57cac8190914bb5ae608a6e0e |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06ace53081909b5f81f382f6591e |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:33 p.m.