Triple
T11934937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lux et Veritas |
E284012
|
entity |
| Predicate | hasNoun |
P102241
|
FINISHED |
| Object | 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: Lux | Statement: [Lux et Veritas, hasNoun, Lux]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoun Context triple: [Lux et Veritas, hasNoun, Lux]
-
A.
hasNounEnding
Indicates that something possesses or exhibits a particular noun-forming ending or suffix.
-
B.
hasNounSystemFrom
Indicates that something possesses or is associated with a noun-based system that originates from or is derived from a specified source.
-
C.
hasNounIncorporation
Indicates that a verb incorporates a noun root or stem into its own form, forming a single complex predicate that expresses both the action and its nominal participant.
-
D.
hasPronounForIt
Indicates that one entity serves as the pronoun form referring to another entity.
-
E.
hasNominalMorphology
Indicates that an entity possesses a system of nominal morphology, such as inflectional or derivational markers on nouns.
- F. None of above. chosen
Provenance (4 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90306fcf48190a963d2d1932288d1 |
completed | April 10, 2026, 2:02 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3af0188190bfb22be5c97b3349 |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8d399d58c81908dab572aa82426d7 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 8, 2026, 9:45 p.m.