Triple
T21627476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZX81 |
E533739
|
entity |
| Predicate | displayDevice |
P145286
|
FINISHED |
| Object | television |
—
|
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: television | Statement: [ZX81, displayDevice, television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: displayDevice Context triple: [ZX81, displayDevice, television]
-
A.
portraysDevice
Indicates that one entity visually represents or depicts a device in some medium or context.
-
B.
displayConnection
Indicates a relationship where one entity visually presents or shows information about its link or association to another entity.
-
C.
displayConfiguration
Indicates a relationship where one entity defines or presents the arrangement, layout, or settings used to visually display another entity.
-
D.
deviceRepresents
Indicates that one device stands for, symbolizes, or serves as a representation of another entity or concept.
-
E.
displayMethod
Indicates how something is presented or rendered, specifying the manner or technique used to display it.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52141e1c8190a861f4bc7cfcb490 |
completed | April 27, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69cb4bcbc8190a4fc2d508df107be |
completed | April 20, 2026, 9:37 p.m. |
Created at: April 16, 2026, 6:34 p.m.