Triple
T16852464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LG Display |
E409706
|
entity |
| Predicate | hasTechnologyBrand |
P125221
|
FINISHED |
| Object | OLED TV panels |
—
|
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: OLED TV panels | Statement: [LG Display, hasTechnologyBrand, OLED TV panels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTechnologyBrand Context triple: [LG Display, hasTechnologyBrand, OLED TV panels]
-
A.
hasTechCompany
Indicates that one entity is a technology company owned by, associated with, or otherwise related to another entity.
-
B.
hasBrandName
Indicates that an entity is associated with or identified by a specific brand name.
-
C.
hasBrandType
Indicates that an entity is associated with or categorized under a particular brand type or classification.
-
D.
hasBrandConcept
Indicates that an entity is associated with or embodies a particular brand concept or branding idea.
-
E.
hasTerminalBrand
Indicates that an entity is associated with, or operates under, a specific terminal brand.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37abadc81909d02d329403497d6 |
completed | April 18, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69e32b8cbb048190878a259cc5be960e |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e355722040819098830dabf207ecd6 |
completed | April 18, 2026, 9:57 a.m. |
Created at: April 10, 2026, 5:24 a.m.