Triple
T23704782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ProphethoodOfSulayman |
E585686
|
entity |
| Predicate | includesNarrative |
P6847
|
FINISHED |
| Object | story of Sulayman and the ants |
—
|
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: story of Sulayman and the ants | Statement: [ProphethoodOfSulayman, includesNarrative, story of Sulayman and the ants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesNarrative Context triple: [ProphethoodOfSulayman, includesNarrative, story of Sulayman and the ants]
-
A.
containsNarrativeOf
chosen
Indicates that one entity includes or presents the story, account, or narrative content of another entity.
-
B.
hasNarrative
Indicates that one entity contains, presents, or is associated with a story or narrative about another entity or subject.
-
C.
narrative
Indicates that one entity tells, presents, or conveys a story or sequence of events about another entity or situation.
-
D.
coreNarrative
Indicates the primary storyline or central sequence of events that forms the main thread of a narrative.
-
E.
narrativeFrame
Indicates the overarching narrative context or perspective within which events, actions, or relationships are presented or interpreted.
- 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_69e24904bd508190abfcb74855de2918 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b685dfc8819081906aceab7b0bdd |
completed | April 29, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:53 p.m.