Triple
T23795916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sermon on the Mount: Fiat Lux |
E588537
|
entity |
| Predicate | latinPhraseMeaning |
P141386
|
FINISHED |
| Object | let there be light |
—
|
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: let there be light | Statement: [Sermon on the Mount: Fiat Lux, latinPhraseMeaning, let there be light]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: latinPhraseMeaning Context triple: [Sermon on the Mount: Fiat Lux, latinPhraseMeaning, let there be light]
-
A.
hasLatinPhraseMeaning
chosen
Indicates that one entity is a Latin phrase that expresses the meaning or translation of another entity.
-
B.
meaningOfPhrase
Indicates that one entity expresses or defines the semantic content or interpretation of a given phrase.
-
C.
latinMeaning
Indicates that one entity expresses or specifies the meaning or translation of another entity in Latin.
-
D.
stringMeaning
Indicates that one entity represents the semantic content or interpretation of a given string associated with another entity.
-
E.
textMeaning
Indicates that one text expresses, conveys, or corresponds to a particular meaning or semantic content.
- 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_69e25d15db58819092ac1e6791696fd9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c6dc94d481908800385a58d2c452 |
completed | April 29, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:47 p.m.