Triple
T29825206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parable of the ten virgins |
E757358
|
entity |
| Predicate | locatedInNarrativeSection |
P115876
|
FINISHED |
| Object | Olivet Discourse |
—
|
NE NERFINISHED |
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: Olivet Discourse | Statement: [Parable of the ten virgins, locatedInNarrativeSection, Olivet Discourse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInNarrativeSection Context triple: [Parable of the ten virgins, locatedInNarrativeSection, Olivet Discourse]
-
A.
locationOfNarrative
Indicates the place or setting where the events or story described in the narrative occur.
-
B.
narrativeSectionOf
chosen
Indicates that one text segment functions as a narrative section or component within a larger narrative work or document.
-
C.
narrativeSectionName
Indicates the specific title or label assigned to a section within a narrative or story structure.
-
D.
positionInStory
Indicates the point or role an event, character, or element occupies within the overall sequence or structure of a story.
-
E.
hasPartInNarrative
Indicates that one entity plays a role or participates as a component within the storyline or structure of another narrative 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_69f22457c84c8190a6d9f56bc74082a9 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a005d878aec81908e1177914a8fb610 |
completed | May 10, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_6a005c382f8881908ff33ebb7f88c430 |
completed | May 10, 2026, 10:21 a.m. |
Created at: April 29, 2026, 5:31 p.m.