Triple
T37449732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bacteria |
E930642
|
entity |
| Predicate | cellSizeRange |
P38983
|
FINISHED |
| Object | Approximately 0.2–10 micrometers |
—
|
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: Approximately 0.2–10 micrometers | Statement: [Bacteria, cellSizeRange, Approximately 0.2–10 micrometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cellSizeRange Context triple: [Bacteria, cellSizeRange, Approximately 0.2–10 micrometers]
-
A.
cellSize
chosen
Indicates the physical dimensions or volume of a cell in a biological or computational context.
-
B.
clusterSizeRange
Indicates the range of allowable or observed sizes for a given cluster within a specified context.
-
C.
rangeSize
Indicates the extent or magnitude of the range over which something applies, varies, or is distributed.
-
D.
includesSizeRange
Indicates that one entity specifies or covers a particular range of sizes associated with another entity.
-
E.
sizeRestriction
Indicates that there is a limitation or constraint on the allowable size or dimensions of something in the relationship.
- 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_69f76ec0b9488190b7a4fae632bd1d2f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:17 p.m.