Triple
T30581380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Panther's suit |
E778389
|
entity |
| Predicate | energyTypeHandled |
P5332
|
FINISHED |
| Object | kinetic 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: kinetic energy | Statement: [Black Panther's suit, energyTypeHandled, kinetic energy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energyTypeHandled Context triple: [Black Panther's suit, energyTypeHandled, kinetic energy]
-
A.
energyType
chosen
Indicates the kind or category of energy associated with an entity or process.
-
B.
energyBaseType
Indicates the fundamental category or source type of energy associated with an entity or process.
-
C.
energyRegime
Indicates the specific range or mode of energy conditions under which a process, interaction, or system operates or is characterized.
-
D.
energyHub
Indicates a central entity that collects, manages, and distributes energy or power among connected entities or systems.
-
E.
energyName
Indicates that a specific name or label is assigned to an energy-related quantity, type, or resource.
- 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_69f224a04b248190b0ca443ec86207b8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 29, 2026, 8:23 p.m.