Triple
T13421181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juss. |
E313361
|
entity |
| Predicate | usedAsAuthorCitationFor |
P109842
|
FINISHED |
| Object | scientific plant names described by Antoine Laurent de Jussieu |
—
|
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: scientific plant names described by Antoine Laurent de Jussieu | Statement: [Juss., usedAsAuthorCitationFor, scientific plant names described by Antoine Laurent de Jussieu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsAuthorCitationFor Context triple: [Juss., usedAsAuthorCitationFor, scientific plant names described by Antoine Laurent de Jussieu]
-
A.
citesAs
Indicates that one entity references or acknowledges another as a source of information, authority, or evidence.
-
B.
isCitedFor
Indicates that one entity references another as a source of information, evidence, or authority for a specific claim, idea, or contribution.
-
C.
citationOf
Indicates that one entity cites, references, or formally acknowledges another entity as a source.
-
D.
citationBy
Indicates that one work is cited or referenced by another work.
-
E.
usesCitation
Indicates that one entity supports or references its content by citing another entity as a source.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb98e808190948013e8f24779c6 |
completed | April 12, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69d9a0355de48190bb3fb96912e20df3 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:39 p.m.