Triple
T19081203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miracle of the Sun |
E467035
|
entity |
| Predicate | hasPhenomenonDescription |
P11875
|
FINISHED |
| Object | apparent dancing of the Sun in the sky |
—
|
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: apparent dancing of the Sun in the sky | Statement: [Miracle of the Sun, hasPhenomenonDescription, apparent dancing of the Sun in the sky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhenomenonDescription Context triple: [Miracle of the Sun, hasPhenomenonDescription, apparent dancing of the Sun in the sky]
-
A.
examplePhenomenon
Indicates a representative or illustrative occurrence used to demonstrate or clarify a broader phenomenon or pattern.
-
B.
capturesPhenomenon
Indicates that one entity records, represents, or effectively reflects the occurrence or characteristics of a particular phenomenon.
-
C.
affectsPhenomenon
Indicates that one phenomenon produces an influence or change on another phenomenon.
-
D.
demonstratedPhenomenon
Indicates that an entity has shown, exhibited, or provided evidence for the occurrence of a particular phenomenon.
-
E.
hasDescription
chosen
Indicates that an entity is associated with a textual description that explains or characterizes it.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e8f8148190942cca6dd3e30caf |
completed | April 20, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e4b9a604308190a3235184f9f2c056 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:04 p.m.