Triple
T17451038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neritimorpha |
E424912
|
entity |
| Predicate | apertureFeature |
P76138
|
FINISHED |
| Object | semicircular aperture |
—
|
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: semicircular aperture | Statement: [Neritimorpha, apertureFeature, semicircular aperture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: apertureFeature Context triple: [Neritimorpha, apertureFeature, semicircular aperture]
-
A.
hasAperture
Indicates that one entity possesses or is characterized by a specific opening, gap, or aperture.
-
B.
hasApertureShape
chosen
Indicates that an entity’s aperture (opening) has a specific geometric or descriptive shape.
-
C.
hasApertureClass
Indicates that one entity is classified according to a specific aperture category or class of another entity.
-
D.
apogeeCapability
Indicates the maximum altitude or apogee that an entity is capable of reaching or supporting.
-
E.
sceneFeature
Indicates a characteristic, element, or attribute that is present within or helps define a particular scene.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4513e57248190824b540865311f44 |
completed | April 19, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f0e3fc819094e466b74622c956 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.