Triple
T5032234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Light and Truth |
E113332
|
entity |
| Predicate | hasConceptualTheme |
P531
|
FINISHED |
| Object | light as metaphor for knowledge |
—
|
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: light as metaphor for knowledge | Statement: [Light and Truth, hasConceptualTheme, light as metaphor for knowledge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConceptualTheme Context triple: [Light and Truth, hasConceptualTheme, light as metaphor for knowledge]
-
A.
hasConcept
chosen
Indicates that an entity includes, embodies, or is associated with a particular concept.
-
B.
hasCentralTheme
Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
-
C.
hasCulturalConcept
Indicates that an entity embodies, includes, or is associated with a particular cultural idea, value, practice, or construct.
-
D.
hasConceptualOrigin
Indicates that something conceptually originates from, is derived from, or is fundamentally based on another thing.
-
E.
featuredConcept
Indicates that one concept is highlighted or given special prominence relative to others in a particular context.
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73b4d1708190aa1fa63104555f8a |
completed | March 20, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69bd71509e9c8190a60c1d8d04936a12 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:36 p.m.