Triple
T38560284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZN stain |
E928060
|
entity |
| Predicate | usesCounterstain |
P39511
|
FINISHED |
| Object | methylene blue |
—
|
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: methylene blue | Statement: [ZN stain, usesCounterstain, methylene blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCounterstain Context triple: [ZN stain, usesCounterstain, methylene blue]
-
A.
usesCounters
Indicates that one entity employs or relies on counters (such as tallying or tracking mechanisms) in relation to another entity or process.
-
B.
usesCounterpoint
Indicates that one entity employs counterpoint, combining independent melodic lines in a structured, interdependent musical relationship with another.
-
C.
stainMethod
Indicates the technique or procedure used to apply a stain to a material or specimen.
-
D.
stainingTarget
Indicates that one entity is the target or subject upon which a staining process is performed by another entity.
-
E.
usesDyes
chosen
Indicates that one entity employs or applies dyes in relation to another entity or process.
- 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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe96c2647c819082989f11e1ae3d35 |
completed | May 9, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69fe928615448190af939e5a94be55bb |
completed | May 9, 2026, 1:48 a.m. |
Created at: May 3, 2026, 4:32 p.m.