Triple
T992702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norma Arm |
E21425
|
entity |
| Predicate | hasSpiralPattern |
P22861
|
FINISHED |
| Object | logarithmic spiral |
—
|
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: logarithmic spiral | Statement: [Norma Arm, hasSpiralPattern, logarithmic spiral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpiralPattern Context triple: [Norma Arm, hasSpiralPattern, logarithmic spiral]
-
A.
hasSpin
Indicates that one entity possesses or exhibits rotational motion or angular momentum.
-
B.
isSpurOf
Indicates that one entity is a secondary offshoot, branch, or derivative extension originating from another primary entity.
-
C.
hasNumberOfArches
Indicates the relationship specifying how many arches are present in or associated with a given entity.
-
D.
hasNumberOfHairpinTurns
Indicates the quantity of hairpin turns associated with an entity, such as a road or path.
-
E.
typicalSpindleCount
Indicates the usual or standard number of spindles associated with an entity in this relationship.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4c3f7b48190a31308bdc09817c6 |
completed | March 1, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69a4b2adbde48190b07966d0c3179516 |
completed | March 1, 2026, 9:42 p.m. |
| PDg | Predicate description generation | batch_69a4b38630848190bd3898a4f42018ad |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:41 p.m.