Triple
T29825235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parable of the ten virgins |
E757358
|
entity |
| Predicate | hasKeyContrast |
P21343
|
FINISHED |
| Object | wise virgins vs foolish virgins |
—
|
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: wise virgins vs foolish virgins | Statement: [Parable of the ten virgins, hasKeyContrast, wise virgins vs foolish virgins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyContrast Context triple: [Parable of the ten virgins, hasKeyContrast, wise virgins vs foolish virgins]
-
A.
hasContrastType
Indicates that one entity is associated with a specific type or category of contrast used to distinguish it from others.
-
B.
hasMainContrast
chosen
Indicates a primary opposing or differing relationship between two elements, highlighting the main point of contrast between them.
-
C.
hasToneContrast
Indicates a relationship where two tones differ in pitch, contour, or phonological features such that they form a perceptible tonal contrast.
-
D.
hasDensityContrast
Indicates that one entity differs from another in material density, highlighting a contrast in how compact or dense they are.
-
E.
hasKeyCoverage
Indicates that one entity’s key or set of keys provides coverage, access, or applicability over another entity or domain.
- 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_69f22457c84c8190a6d9f56bc74082a9 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 29, 2026, 5:31 p.m.