Triple
T23244050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galactic thick disk |
E581534
|
entity |
| Predicate | hasAlphaEnhancement |
P151504
|
FINISHED |
| Object | [α/Fe] enhanced relative to thin disk |
—
|
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/Fe] enhanced relative to thin disk | Statement: [Galactic thick disk, hasAlphaEnhancement, [α/Fe] enhanced relative to thin disk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlphaEnhancement Context triple: [Galactic thick disk, hasAlphaEnhancement, [α/Fe] enhanced relative to thin disk]
-
A.
hasRGB
Indicates that an entity possesses or is associated with a specific RGB (red, green, blue) color value.
-
B.
hasColorGuard
Indicates that an entity includes, is associated with, or features a color guard unit (e.g., a performance or ceremonial flag-bearing group).
-
C.
hasAlbedo
Indicates that an entity possesses a specific reflectivity or albedo value, describing how much incoming light it reflects.
-
D.
hasTransparencyRequirement
Indicates that one entity is obligated to provide clear, accessible information or disclosure to another entity or to the public.
-
E.
supportsColorSampling
Indicates that one entity can perform or accommodate color sampling operations on another entity or its data.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192efd44c8190b179b4d1cb71efa5 |
completed | April 29, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69effcdadec0819092ec1749ee453b4e |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:10 p.m.