Triple
T33105428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ikata Nuclear Power Plant |
E847176
|
entity |
| Predicate | primaryCoolingWaterSource |
P54649
|
FINISHED |
| Object | Seto Inland Sea |
E78567
|
NE 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: Seto Inland Sea | Statement: [Ikata Nuclear Power Plant, primaryCoolingWaterSource, Seto Inland Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCoolingWaterSource Context triple: [Ikata Nuclear Power Plant, primaryCoolingWaterSource, Seto Inland Sea]
-
A.
servesAsCoolingWaterFor
Indicates that one entity functions as the cooling water medium used to absorb and remove heat from another entity.
-
B.
coolingWaterSourceLicensed
Indicates that the source of cooling water used (e.g., for industrial or energy production purposes) is formally licensed or authorized by the relevant regulatory authority.
-
C.
hasCoolingSource
chosen
Indicates that one entity provides or serves as a cooling source for another entity.
-
D.
sourceOfWaterSupply
Indicates that one entity serves as the origin or provider of another entity’s water supply.
-
E.
waterTemperatureAtSource
Indicates the temperature of water measured at its point of origin or source location.
- F. None of above.
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_69f3495686508190b76bf20fa5e00bf7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a376f83b46c81909acd9b0d135dbc6e |
completed | June 21, 2026, 4:58 a.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:26 a.m.