Triple
T36574043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E0 elliptical galaxy |
E902195
|
entity |
| Predicate | hasAxisRatio |
P185882
|
FINISHED |
| Object | major-to-minor axis ratio close to 1 |
—
|
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: major-to-minor axis ratio close to 1 | Statement: [E0 elliptical galaxy, hasAxisRatio, major-to-minor axis ratio close to 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAxisRatio Context triple: [E0 elliptical galaxy, hasAxisRatio, major-to-minor axis ratio close to 1]
-
A.
hasAxisConfiguration
Indicates that one entity specifies or defines the axis arrangement, orientation, or setup used by another entity.
-
B.
hasAxisCount
Indicates that an entity is associated with a specified number of axes.
-
C.
hasIntermediateAxisLength
Indicates that an entity is associated with a specific value representing the length of its intermediate (middle-sized) axis.
-
D.
hasCentralAxis
Indicates that one entity serves as the primary central axis or line of symmetry around which another entity is organized, aligned, or structured.
-
E.
isProportionalTo
Indicates that one quantity varies in constant ratio to another, so when one changes, the other changes by a fixed multiplicative factor.
- 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_69f76e6416708190a9754b8c52d4e453 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c3705b5c81908c84004543a71c07 |
completed | May 3, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:11 p.m.