Triple
T28248845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dog Star |
E712260
|
entity |
| Predicate | seasonalProminence |
P31151
|
FINISHED |
| Object | prominent in the winter sky of the Northern Hemisphere |
—
|
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: prominent in the winter sky of the Northern Hemisphere | Statement: [Dog Star, seasonalProminence, prominent in the winter sky of the Northern Hemisphere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonalProminence Context triple: [Dog Star, seasonalProminence, prominent in the winter sky of the Northern Hemisphere]
-
A.
primarySeasonality
Indicates the main or most characteristic time period or season during which something typically occurs or is most relevant.
-
B.
seasonalOrder
Indicates the temporal ordering of events or states according to their position within a recurring seasonal cycle.
-
C.
hasSeasonalNature
Indicates that something exhibits characteristics, behavior, or occurrence patterns that vary according to specific seasons or times of the year.
-
D.
hasSeasonalHighlight
chosen
Indicates that something features a notable or emphasized aspect during a particular season or time of year.
-
E.
seasonalDirection
Indicates the direction or trend of change in a phenomenon as it varies across different seasons.
- F. None of above.
Provenance (3 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_69efb51fb98881909692421959ec0170 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: April 27, 2026, 11:03 p.m.