Triple
T21884968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AchernarRegionNearHydrus |
E540381
|
entity |
| Predicate | hasSkyType |
P146052
|
FINISHED |
| Object | stellar field |
—
|
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: stellar field | Statement: [AchernarRegionNearHydrus, hasSkyType, stellar field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSkyType Context triple: [AchernarRegionNearHydrus, hasSkyType, stellar field]
-
A.
hasSkyColor
Indicates that an entity’s sky is characterized by a particular color.
-
B.
skylineType
Indicates the general visual or structural character of a skyline, such as its dominant form, density, or profile.
-
C.
hasSkyBar
Indicates that an establishment features a bar located on its rooftop or at a high elevation with views of the surrounding area.
-
D.
hasSkyway
Indicates that there is an elevated, usually enclosed walkway or bridge connecting two or more structures or areas.
-
E.
hasSkyboxes
Indicates that one or more skybox environments are associated with or assigned to a given 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118eabb008190ab6f1364ef4e6feb |
completed | April 28, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69e6be9a65888190a66598d62d20366c |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6d054737081908aa7112975b77475 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 7:05 p.m.