Triple
T9778362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flavia |
E237301
|
entity |
| Predicate | hasMeaningOrigin |
P24069
|
FINISHED |
| Object | Latin flavus meaning yellow or golden |
—
|
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: Latin flavus meaning yellow or golden | Statement: [Flavia, hasMeaningOrigin, Latin flavus meaning yellow or golden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMeaningOrigin Context triple: [Flavia, hasMeaningOrigin, Latin flavus meaning yellow or golden]
-
A.
historicalOriginMeaning
Indicates that one entity explains the original historical source or derivational meaning of another entity.
-
B.
etymologyPossibleMeaning
Indicates a possible or hypothesized meaning that an etymological analysis suggests for a word or term.
-
C.
hasGivenNameMeaning
chosen
Indicates that a given name carries a particular meaning or semantic interpretation.
-
D.
hasMeaningViaJohn
Indicates that something possesses or conveys its meaning specifically through John as the interpretive or mediating agent.
-
E.
hasEthnonymMeaning
Indicates that one entity is the meaning or semantic interpretation of an ethnonym (a name for an ethnic group) associated with 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_69ca84d975a08190aab25b02a89bdab3 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda13545808190a47544b0cc666e20 |
completed | April 1, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69cd03d77c6c81909b675955bf113320 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:26 p.m.