Triple
T23795915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sermon on the Mount: Fiat Lux |
E588537
|
entity |
| Predicate | titleIncludesLatinPhrase |
P9999
|
FINISHED |
| Object | Fiat Lux |
—
|
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: Fiat Lux | Statement: [Sermon on the Mount: Fiat Lux, titleIncludesLatinPhrase, Fiat Lux]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleIncludesLatinPhrase Context triple: [Sermon on the Mount: Fiat Lux, titleIncludesLatinPhrase, Fiat Lux]
-
A.
hasLatinTitle
chosen
Indicates that an entity possesses a title or name expressed in Latin.
-
B.
hasLatinTitleOf
Indicates that one entity has, uses, or is associated with the Latin-language title corresponding to another entity.
-
C.
titleInLatinScript
Indicates that the title of an entity is written or represented using a Latin-based writing system.
-
D.
hasLatinIncipit
Indicates that an entity begins with, or is identified by, a specified Latin opening phrase (incipit).
-
E.
hasLatinPhraseMeaning
Indicates that one entity is a Latin phrase that expresses the meaning or translation 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_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.