Triple
T29007228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French press |
E736468
|
entity |
| Predicate | requiresPowerSource |
P44389
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [French press, requiresPowerSource, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresPowerSource Context triple: [French press, requiresPowerSource, none]
-
A.
hasPowerSource
Indicates that an entity derives its operational energy or functionality from a specified power source.
-
B.
requiresBattery
Indicates that one entity depends on a battery from another entity in order to function or be used.
-
C.
involvesExternalPower
Indicates that the situation, event, or relationship includes the participation, influence, or intervention of an external power or authority.
-
D.
hasPowerSupplyType
chosen
Indicates that an entity is associated with a specific type or category of power supply it uses or requires.
-
E.
requiresCharging
Indicates that an entity depends on being recharged (e.g., with electrical power or energy) in order to function or continue operating.
- 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_69f077eb81e88190ad9ff62cbb9f555e |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: April 28, 2026, 9:39 a.m.