Triple
T16211751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spiralia |
E393481
|
entity |
| Predicate | cleavageOrientation |
P122181
|
FINISHED |
| Object | oblique to animal–vegetal axis |
—
|
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: oblique to animal–vegetal axis | Statement: [Spiralia, cleavageOrientation, oblique to animal–vegetal axis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cleavageOrientation Context triple: [Spiralia, cleavageOrientation, oblique to animal–vegetal axis]
-
A.
orientationOfCross
Indicates the spatial orientation or alignment of a cross relative to a reference frame or object.
-
B.
poleOrientation
Indicates the directional alignment or facing of a pole relative to a reference frame or coordinate system.
-
C.
crescentOrientation
Indicates the directional alignment or facing of a crescent-shaped object relative to a reference frame or observer.
-
D.
legOrientation
Indicates the relative positioning or directional alignment of an entity’s leg(s) with respect to a reference frame or another object.
-
E.
cliffOrientation
Indicates the directional facing or alignment of a cliff relative to a reference frame (e.g., compass direction or slope aspect).
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f1bef8819094e724f5cd0b86d5 |
completed | April 17, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69e219e94a448190b73a4e6aa374eb4a |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:03 a.m.