Triple
T29852968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | blue flower |
E758110
|
entity |
| Predicate | firstMajorUseBy |
P104794
|
FINISHED |
| Object | Novalis |
—
|
NE NERFINISHED |
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: Novalis | Statement: [blue flower, firstMajorUseBy, Novalis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMajorUseBy Context triple: [blue flower, firstMajorUseBy, Novalis]
-
A.
firstMajorUseYear
Indicates the calendar year in which something was first put into major or primary use.
-
B.
firstMajorHitUsage
chosen
Indicates the earliest notable or widely recognized instance in which something was prominently used or gained major attention.
-
C.
majorUse
Indicates that something serves as the primary or most significant use or application of an entity.
-
D.
firstMajorDevelopment
Indicates that the object is the earliest significant development, milestone, or major advancement associated with the subject.
-
E.
firstMajorProduction
Indicates that an entity is the earliest significant or primary production (such as a film, play, or large-scale work) 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_69f2245a82cc8190a387e7d0118d710b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a01416f8a8c8190abc12f68bd23dcc3 |
completed | May 11, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_6a013f3bc2e48190a51ec2707bbdd474 |
completed | May 11, 2026, 2:30 a.m. |
Created at: April 29, 2026, 5:45 p.m.