Triple
T25007082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The White Road |
E625870
|
entity |
| Predicate | hasDarkTone |
P112604
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The White Road, hasDarkTone, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDarkTone Context triple: [The White Road, hasDarkTone, true]
-
A.
hasDarkerTone
Indicates that one entity possesses a color or shade that is visually darker than that of another entity.
-
B.
isDark
Indicates that an entity possesses a low level of lightness or brightness, making it visually dark.
-
C.
hasToneContrast
Indicates a relationship where two tones differ in pitch, contour, or phonological features such that they form a perceptible tonal contrast.
-
D.
hasDarkLyrics
chosen
Indicates that the associated content contains lyrics with dark, grim, or disturbing themes.
-
E.
isDarkerThan
Indicates that one entity has a lower brightness or lightness level than another, making it visually darker in comparison.
- 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_69e2ff26c50481908bc82e799c9e6587 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f44b12bd788190bc32bb8129c4550e |
completed | May 1, 2026, 6:41 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6:05 a.m.