Triple
T1635562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ThinkVision |
E35352
|
entity |
| Predicate | offersResolution |
P9404
|
FINISHED |
| Object | Full HD |
—
|
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: Full HD | Statement: [ThinkVision, offersResolution, Full HD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersResolution Context triple: [ThinkVision, offersResolution, Full HD]
-
A.
offersViewOf
Indicates that one entity provides a vantage point from which another entity can be seen or visually appreciated.
-
B.
offersFeature
chosen
Indicates that one entity provides or makes available a particular feature or capability to another entity.
-
C.
offersEdition
Indicates that one entity provides or makes available a particular version or edition of another entity.
-
D.
offering
Indicates that one entity presents or provides something to another entity, typically as a gift, contribution, or proposal.
-
E.
offersGrade
Indicates that one entity assigns or provides an academic grade or evaluation to another entity.
- 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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a96083e7308190abbf025fe8e43abb |
completed | March 5, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69a907cac610819083cafd4396b6d66c |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.