Triple
T36129782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Staphyleaceae |
E1044982
|
entity |
| Predicate | hasLignifiedStems |
P55352
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Staphyleaceae, hasLignifiedStems, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLignifiedStems Context triple: [Staphyleaceae, hasLignifiedStems, yes]
-
A.
hasXylem
Indicates that an entity possesses xylem tissue or structures for conducting water and nutrients.
-
B.
hasVascularTissue
Indicates that an entity possesses specialized vascular tissues (such as xylem and phloem) for internal transport of fluids and nutrients.
-
C.
hasStem
Indicates that one entity possesses or is characterized by a stem as a structural or functional part.
-
D.
isWoodyPlant
chosen
Indicates that the subject is a plant characterized by persistent, woody stems or trunks that remain above ground year-round.
-
E.
hasPhloem
Indicates that one entity possesses or contains phloem tissue used for transporting nutrients in plants.
- 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_69f76e356c908190abc6ca1e6a05b011 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fed09a12648190affcd9bacf7ca275 |
completed | May 9, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69fecf91d6f481908deb60c965c433ed |
completed | May 9, 2026, 6:09 a.m. |
Created at: May 3, 2026, 4:08 p.m.