Triple
T30346351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Demon Slayer Corps |
E771876
|
entity |
| Predicate | usesPlantAgainstDemons |
P3806
|
FINISHED |
| Object | wisteria |
—
|
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: wisteria | Statement: [Demon Slayer Corps, usesPlantAgainstDemons, wisteria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPlantAgainstDemons Context triple: [Demon Slayer Corps, usesPlantAgainstDemons, wisteria]
-
A.
ritualPlant
Indicates that a plant is used or involved in a ritual, ceremony, or other formalized spiritual or cultural practice.
-
B.
hostsPlantOf
Indicates that one entity serves as a host environment or substrate on which a particular plant lives, grows, or depends.
-
C.
containsPlantsWith
Indicates that one entity includes or holds within it one or more plant entities.
-
D.
hasToxicSap
Indicates that an entity produces or contains sap that is harmful or poisonous to other organisms.
-
E.
involvesPlant
chosen
Indicates that the relationship or action includes or pertains to a plant as a participating 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: April 29, 2026, 7:56 p.m.