Triple
T11466615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ziehl–Neelsen stain |
E271795
|
entity |
| Predicate | microscopeType |
P99734
|
FINISHED |
| Object | bright-field microscope |
—
|
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: bright-field microscope | Statement: [Ziehl–Neelsen stain, microscopeType, bright-field microscope]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: microscopeType Context triple: [Ziehl–Neelsen stain, microscopeType, bright-field microscope]
-
A.
typicalMagnification
Indicates the usual or characteristic degree to which something is enlarged or magnified under normal or standard conditions.
-
B.
lensType
Indicates the specific kind or category of lens associated with or used by an entity.
-
C.
telescopeType
Indicates the specific kind or category of telescope associated with an entity.
-
D.
spectrometerType
Indicates the specific kind or category of spectrometer associated with or used in relation to an entity.
-
E.
microscopicStructure
Indicates the detailed arrangement and organization of components at a microscopic scale within an entity.
- F. None of above. chosen
Provenance (4 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f5eb988190b309b8e309f6d1a5 |
completed | April 9, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69d80867ff248190bb157fa9e355353b |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822ef46988190a1c360da4ee14fef |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:35 p.m.