Triple
T30369784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SECAM |
E772517
|
entity |
| Predicate | colorDifferenceSignals |
P17352
|
FINISHED |
| Object | Dr and Db |
—
|
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: Dr and Db | Statement: [SECAM, colorDifferenceSignals, Dr and Db]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorDifferenceSignals Context triple: [SECAM, colorDifferenceSignals, Dr and Db]
-
A.
usesColorDifferenceSignals
chosen
Indicates that one entity employs differences in color as signals to convey information or communicate.
-
B.
colorStability
Indicates how consistently an entity’s color remains unchanged over time or under varying conditions.
-
C.
designDifferenceFrom
Indicates a relationship where one design is distinguished from another by specific differing features, characteristics, or structure.
-
D.
brightnessCorrelatesWith
Indicates that changes in the brightness of one entity are systematically associated with changes in the brightness of another entity.
-
E.
isDifferenceOf
Indicates that one quantity or entity represents the result obtained by subtracting one specified quantity or entity from another.
- 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_69f2248d71408190aec0d5c2001b1cff |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 29, 2026, 7:59 p.m.