Triple
T29825211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parable of the ten virgins |
E757358
|
entity |
| Predicate | hasNumberOfFoolishVirgins |
P193059
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Parable of the ten virgins, hasNumberOfFoolishVirgins, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfFoolishVirgins Context triple: [Parable of the ten virgins, hasNumberOfFoolishVirgins, 5]
-
A.
hasNumberOfWiseVirgins
Indicates the specific count of wise virgins associated with or possessed by an entity.
-
B.
hasNumberOfVirgins
chosen
Indicates a relationship where an entity is associated with a specified count of virgins.
-
C.
hasNumberOfPrincesses
Indicates the specific count of princesses associated with a given entity.
-
D.
hasFolly
Indicates that an entity possesses or exhibits a foolish, ill-judged, or irrational quality, behavior, or decision.
-
E.
hasNumberOfTemptations
Indicates the specific count of temptations associated with an entity or situation.
- 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_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
Created at: April 29, 2026, 5:31 p.m.