Triple
T26705773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cephalopachus |
E673284
|
entity |
| Predicate | eyeToBodySizeRatio |
P161143
|
FINISHED |
| Object | very high |
—
|
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: very high | Statement: [Cephalopachus, eyeToBodySizeRatio, very high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eyeToBodySizeRatio Context triple: [Cephalopachus, eyeToBodySizeRatio, very high]
-
A.
oculusDiameter
Indicates the diameter measurement of an oculus (a circular opening), relating the opening to the size of its circular span.
-
B.
headProportion
Indicates the proportional relationship between the size of an entity’s head and a reference measure, such as its body or overall height.
-
C.
angularSize
Indicates the apparent size of an object as seen from a given point, typically measured as the angle it subtends at the observer.
-
D.
eyeDepth
Indicates the relative distance or recession of the eyes from the surrounding facial surface.
-
E.
bodySize
Indicates the relative physical magnitude or scale of an entity’s body, such as how large or small it is.
- 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f617b8e61881909eef2e8eaf1bc969 |
completed | May 2, 2026, 3:26 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f6106d346c8190868489f36c65b6ec |
completed | May 2, 2026, 2:55 p.m. |
Created at: April 27, 2026, 3:34 a.m.