Triple
T14631782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia N75 |
E343494
|
entity |
| Predicate | hasMainDisplayTechnology |
P33708
|
FINISHED |
| Object | TFT |
—
|
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: TFT | Statement: [Nokia N75, hasMainDisplayTechnology, TFT]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainDisplayTechnology Context triple: [Nokia N75, hasMainDisplayTechnology, TFT]
-
A.
supportsDisplayTechnology
Indicates that one entity is compatible with, or capable of operating using, a specified display technology.
-
B.
hasHDMIPort
Indicates that one entity (typically a device) is equipped with an HDMI port that can be used to connect to another entity.
-
C.
hasPrimarySurface
Indicates that one entity serves as the main or principal surface associated with another entity.
-
D.
hasScreen
Indicates that an entity is equipped with or includes a screen or display component.
-
E.
usesBacklightTechnology
chosen
Indicates that one entity employs backlight technology to illuminate or enhance the visibility of another entity or its display.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4a912248190a3df7f821395c776 |
completed | April 14, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69de657359c88190b082e3e9f86fc1d7 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:26 a.m.