Triple
T13809626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia E6 |
E331851
|
entity |
| Predicate | flashType |
P111557
|
FINISHED |
| Object | dual-LED flash |
—
|
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: dual-LED flash | Statement: [Nokia E6, flashType, dual-LED flash]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flashType Context triple: [Nokia E6, flashType, dual-LED flash]
-
A.
consideredFlashpointBy
Indicates that something is regarded as a source of tension, conflict, or potential escalation by a particular party or group.
-
B.
hasOnboardFlash
Indicates that an entity is equipped with built-in flash memory as part of its hardware.
-
C.
frameType
Indicates the specific structural or categorical kind of frame associated with an entity or relation.
-
D.
twinkling
Indicates that one entity emits brief, intermittent flashes of light or brightness, often appearing to flicker or sparkle when observed.
-
E.
frontType
Indicates the type or category of a front (e.g., boundary or leading side) that one entity presents or forms relative to another.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026ff6b481908066d6bf27064417 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc862e9608190bd8a3d883959b7e4 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:12 p.m.