Triple
T24985620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fleur |
E625298
|
entity |
| Predicate | isAlsoA |
P2819
|
FINISHED |
| Object | French common noun meaning "flower" |
—
|
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: French common noun meaning "flower" | Statement: [Fleur, isAlsoA, French common noun meaning "flower"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAlsoA Context triple: [Fleur, isAlsoA, French common noun meaning "flower"]
-
A.
alsoIn
Indicates that an entity participates in or belongs to an additional context, group, or location alongside another already specified one.
-
B.
isAlsoUsedAs
Indicates that something serves an additional function or role beyond its primary one.
-
C.
canAlsoBe
chosen
Indicates that something has an additional possible state, role, or classification beyond its primary one.
-
D.
alsoHolds
Indicates that a condition, property, or relation that applies in one context or case simultaneously applies in another context or case.
-
E.
alsoServesAs
Indicates that one entity has an additional role, function, or identity that it fulfills simultaneously with its primary one.
- 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_69e2ff254570819093d197b1900305ac |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4490a4a508190bdd6c2dde03e251a |
completed | May 1, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6:03 a.m.