Triple
T15385127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryu |
E367896
|
entity |
| Predicate | usesEnergyType |
P5332
|
FINISHED |
| Object | Hadou (chi energy) |
—
|
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: Hadou (chi energy) | Statement: [Ryu, usesEnergyType, Hadou (chi energy)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesEnergyType Context triple: [Ryu, usesEnergyType, Hadou (chi energy)]
-
A.
usesEnergyFrom
Indicates that one entity derives or consumes energy originating from another entity as its source.
-
B.
energyType
chosen
Indicates the kind or category of energy associated with an entity or process.
-
C.
usesEnergyConversion
Indicates that an entity performs or involves a process where one form of energy is transformed into another to achieve a function or outcome.
-
D.
usesElectricityFor
Indicates that one entity relies on or employs electricity as the power source to operate, perform a function, or carry out an activity for another entity or purpose.
-
E.
energyUse
Indicates the amount or rate at which an entity consumes energy to perform its functions or activities.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e74ff70819094c1a85f51d6e228 |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27742a881909cd73cc5c7d062fd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:19 a.m.