Triple
T15014688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asymmetronidae |
E377927
|
entity |
| Predicate | hasSegmentation |
P19649
|
FINISHED |
| Object | myomere segmentation |
—
|
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: myomere segmentation | Statement: [Asymmetronidae, hasSegmentation, myomere segmentation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSegmentation Context triple: [Asymmetronidae, hasSegmentation, myomere segmentation]
-
A.
hasSegmentOn
Indicates that one entity includes or occupies a specific segment or portion on another entity (such as a line, path, or sequence).
-
B.
segmentation
chosen
Indicates dividing something into distinct parts or segments based on certain criteria or boundaries.
-
C.
hasSegmentOver
Indicates that one segment spatially extends above or across another segment.
-
D.
hasColorSegments
Indicates that an entity is composed of or divided into distinct parts, each associated with a specific color.
-
E.
hasMultipleSegments
Indicates that the referenced entity is composed of more than one distinct segment or section.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7623c3c819092ca36b358b01842 |
completed | April 15, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69de9a6531a88190acde65199a477350 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:55 a.m.