Triple
T36198260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Psilocybe caerulescens |
E1047186
|
entity |
| Predicate | stainingReaction |
P99727
|
FINISHED |
| Object | blue bruising |
—
|
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: blue bruising | Statement: [Psilocybe caerulescens, stainingReaction, blue bruising]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stainingReaction Context triple: [Psilocybe caerulescens, stainingReaction, blue bruising]
-
A.
stainingProperty
chosen
Indicates a relationship where one entity has a particular staining behavior or characteristic when subjected to a specific stain or staining method.
-
B.
stainMethod
Indicates the technique or procedure used to apply a stain to a material or specimen.
-
C.
gramStain
Indicates the result of a Gram staining procedure, specifying how an organism or sample reacts to the Gram stain (e.g., Gram-positive or Gram-negative).
-
D.
primaryStain
Indicates that a specified stain is the main or first staining agent applied to a sample in a staining procedure.
-
E.
stainLocation
Indicates the specific place or area where a stain is present or occurs.
- 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_69f76e414bdc8190996f15a544220a3d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.