Triple
T497175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPhone |
E10318
|
entity |
| Predicate | powerBy |
P14386
|
FINISHED |
| Object | rechargeable lithium-ion battery |
—
|
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: rechargeable lithium-ion battery | Statement: [iPhone, powerBy, rechargeable lithium-ion battery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerBy Context triple: [iPhone, powerBy, rechargeable lithium-ion battery]
-
A.
grantedPower
Indicates that one entity has conferred authority, control, or a specific capability to another entity.
-
B.
hasPower
Indicates that one entity possesses authority, control, or influence over another entity or over a particular domain or resource.
-
C.
exclusivePower
Indicates that one entity holds sole authority or control over another entity or a specific domain, excluding others from sharing that power.
-
D.
powerDirection
Indicates the direction in which power, influence, or control flows from one entity to another.
-
E.
inPowerSince
Indicates the point in time from which an entity has continuously held a position of authority or power.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f116f1b4819082f88d6c747368ae |
completed | Feb. 28, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_69a2edfa87cc8190a77c726a5a55b7d9 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eebbd70481908b462296671de67b |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.