Triple
T6494194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enceladus |
E148113
|
entity |
| Predicate | surfaceFeatureNameTheme |
P47694
|
FINISHED |
| Object | characters and places from The Arabian Nights |
—
|
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: characters and places from The Arabian Nights | Statement: [Enceladus, surfaceFeatureNameTheme, characters and places from The Arabian Nights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceFeatureNameTheme Context triple: [Enceladus, surfaceFeatureNameTheme, characters and places from The Arabian Nights]
-
A.
surfaceFeatureOf
chosen
Indicates that one entity is a surface-level characteristic, pattern, or feature belonging to or present on another entity.
-
B.
featuresThemeType
Indicates that something (such as a work, event, or item) has or is characterized by a particular type of theme.
-
C.
namedFeature
Indicates that an entity has a specific feature or attribute that is explicitly given a name.
-
D.
themeRepresentation
Indicates that one entity serves as a representation, depiction, or expression of the thematic content associated with another entity.
-
E.
featuresStyle
Indicates that one entity exhibits, incorporates, or is characterized by a particular style associated with 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06ab7c0b8819091437a293b40dfd2 |
completed | March 22, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69c06740bebc81909d9d6956baa2bcb9 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:53 p.m.