Triple
T634378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NTSC color television standard |
E15990
|
entity |
| Predicate | colorBurstCycles |
P17350
|
FINISHED |
| Object | 8 to 10 cycles per line |
—
|
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: 8 to 10 cycles per line | Statement: [NTSC color television standard, colorBurstCycles, 8 to 10 cycles per line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorBurstCycles Context triple: [NTSC color television standard, colorBurstCycles, 8 to 10 cycles per line]
-
A.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
B.
crestColor
Indicates the color characteristic of an entity’s crest.
-
C.
colorCharge
Indicates a relationship where an entity possesses a specific quantum color charge (such as red, green, or blue) in the context of strong nuclear interactions.
-
D.
numberOfStripes
Indicates the count of distinct stripe markings associated with an entity.
-
E.
hasColorOption
Indicates that an entity offers or supports a particular color as one of its selectable options.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ee4ee8481908ad45405e3f3835c |
completed | March 1, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69a49d0483908190a5ec42a7403c258e |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49defe58c8190bd39ef47c9f660a7 |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:35 p.m.