Triple
T38560307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZN stain |
E928060
|
entity |
| Predicate | observationMagnification |
P49706
|
FINISHED |
| Object | oil immersion microscopy |
—
|
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: oil immersion microscopy | Statement: [ZN stain, observationMagnification, oil immersion microscopy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observationMagnification Context triple: [ZN stain, observationMagnification, oil immersion microscopy]
-
A.
typicalMagnification
chosen
Indicates the usual or characteristic degree to which something is enlarged or magnified under normal or standard conditions.
-
B.
viewfinderMagnification
Indicates the degree to which the viewfinder enlarges the scene relative to the naked eye.
-
C.
scaleOfObservation
Indicates the level or granularity at which something is observed, measured, or analyzed within a given context.
-
D.
maximumMagnification
Indicates the highest level to which something can be magnified or enlarged relative to its original size.
-
E.
observationType
Indicates the specific kind or category of observation being made or recorded in a given context.
- 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_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.