Triple
T16630439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vogel spiral |
E404063
|
entity |
| Predicate | angleRelation |
P123639
|
FINISHED |
| Object | α / 2π = 1 − 1/φ |
—
|
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: α / 2π = 1 − 1/φ | Statement: [Vogel spiral, angleRelation, α / 2π = 1 − 1/φ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: angleRelation Context triple: [Vogel spiral, angleRelation, α / 2π = 1 − 1/φ]
-
A.
spatialRelation
Indicates a spatial relationship between entities, specifying how one is positioned or located relative to another in space.
-
B.
alignmentRelation
Indicates that one entity is positioned, oriented, or arranged in a specific way relative to another entity.
-
C.
standsInRelationTo
Indicates that one entity is connected to another by some specified relationship, without constraining the nature or direction of that relationship.
-
D.
morphologicalRelation
Indicates a relationship between linguistic forms where one word or morpheme is derived from, inflected from, or otherwise morphologically related to another.
-
E.
relativePositioning
Indicates how one entity is spatially arranged or located in relation to another entity.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e4db5081908a6085f1bc2d65b8 |
completed | April 18, 2026, 12:28 p.m. |
| PD | Predicate disambiguation | batch_69e296ad3f148190af09223dc35b155c |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7fb02f481908885a226c2191231 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:17 a.m.