Triple
T16127176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miraculous Medal |
E391300
|
entity |
| Predicate | twelveStarsSymbolize |
P112104
|
FINISHED |
| Object | the twelve apostles |
—
|
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: the twelve apostles | Statement: [Miraculous Medal, twelveStarsSymbolize, the twelve apostles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: twelveStarsSymbolize Context triple: [Miraculous Medal, twelveStarsSymbolize, the twelve apostles]
-
A.
starCountSymbolizes
chosen
Indicates that the number of stars associated with something serves as a symbolic representation of a particular quality, status, or attribute.
-
B.
smallStarsArrangementSymbolism
Indicates a symbolic relationship conveyed by the specific arrangement or pattern of small stars.
-
C.
whiteStarRepresents
Indicates that a white star symbol is used to stand for, denote, or signify a particular entity, concept, or status.
-
D.
numberOfStarsInConstellation
Indicates the numerical count of stars that belong to a given constellation.
-
E.
cosmicSymbolism
Indicates a relationship where one entity symbolically represents or embodies cosmic, universal, or celestial principles in relation to another.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20205bed48190a6930439738da191 |
completed | April 17, 2026, 9:48 a.m. |
| PD | Predicate disambiguation | batch_69e1828518c48190a8ef3aaa46a1f639 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5 a.m.