Triple
T17276376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lux aeterna |
E419401
|
entity |
| Predicate | hasTextPhrase |
P7166
|
FINISHED |
| Object | "Lux aeterna luceat eis, Domine" |
—
|
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: "Lux aeterna luceat eis, Domine" | Statement: [Lux aeterna, hasTextPhrase, "Lux aeterna luceat eis, Domine"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTextPhrase Context triple: [Lux aeterna, hasTextPhrase, "Lux aeterna luceat eis, Domine"]
-
A.
hasText
chosen
Indicates that an entity is associated with or contains a specific piece of textual content.
-
B.
hasTextBy
Indicates that one entity (such as a document, work, or record) contains or is associated with text authored or written by another entity.
-
C.
containsText
Indicates that one entity includes the specified text string within its content.
-
D.
hasTerm
Indicates that an entity includes, is associated with, or is defined by a specific term or condition.
-
E.
hasNoText
Indicates that the referenced entity or element contains no textual 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4332625c48190a25bf51543d797c3 |
completed | April 19, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69e3832c3b98819091967ac7e91ba316 |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:40 a.m.