Triple
T5859174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book of Zechariah |
E130230
|
entity |
| Predicate | visionMotif |
P26123
|
FINISHED |
| Object | horsemen among myrtle trees |
—
|
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: horsemen among myrtle trees | Statement: [Book of Zechariah, visionMotif, horsemen among myrtle trees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visionMotif Context triple: [Book of Zechariah, visionMotif, horsemen among myrtle trees]
-
A.
visionOrSign
chosen
Indicates a relationship where something is perceived or presented as a vision, sign, or symbolic manifestation, often conveying a message, omen, or divine indication.
-
B.
vision
Indicates that an entity perceives another entity or object visually, using sight.
-
C.
visionOf
Indicates that one entity is a visual representation, image, or depiction of another entity.
-
D.
visualFeature
Indicates a relationship where one entity possesses or exhibits a particular visual characteristic or attribute of another entity.
-
E.
modelsMotionOf
Indicates that one entity provides a representation or simulation of the motion or movement behavior of 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03345ca0c819081c81148d054fed2 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:56 p.m.