Triple
T76737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiat Lux |
E1532
|
entity |
| Predicate | wordMeaning |
P773
|
FINISHED |
| Object | Fiat means "let it be done" in Latin |
—
|
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 means "let it be done" in Latin | Statement: [Fiat Lux, wordMeaning, Fiat means "let it be done" in Latin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wordMeaning Context triple: [Fiat Lux, wordMeaning, Fiat means "let it be done" in Latin]
-
A.
keyTerm
Indicates that a term functions as a primary or central concept within a given context or information structure.
-
B.
etymologicalLanguage
Indicates the language from which a word or term is historically derived in its etymology.
-
C.
etymologyType
Indicates the specific kind or category of etymological relationship that links a term to its linguistic origin or source.
-
D.
Article5Meaning
Indicates that a legal or policy document specifies the meaning, scope, or implications of its Article 5 provision.
-
E.
defined
chosen
Indicates that one entity specifies, explains, or establishes the meaning, scope, or identity 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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a2559892dc81909303f2eefdc0025f |
completed | Feb. 28, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69a24eaf99e481908e8d314577e22ecf |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.