Triple
T5958629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betelgeuse |
E132578
|
entity |
| Predicate | supernovaTimescaleEstimate |
P67061
|
FINISHED |
| Object | within the next million years |
—
|
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: within the next million years | Statement: [Betelgeuse, supernovaTimescaleEstimate, within the next million years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supernovaTimescaleEstimate Context triple: [Betelgeuse, supernovaTimescaleEstimate, within the next million years]
-
A.
hasSupernovaRemnant
Indicates that an astronomical object is associated with or gives rise to a specific supernova remnant.
-
B.
supernovaFields
Indicates a relationship where certain fields or regions are associated with, influenced by, or designated for observations or data related to supernova events.
-
C.
stellarPopulationAge
Indicates the age of a group of stars that formed together within a stellar system or region.
-
D.
cosmicDurationType
Indicates the type or category of a time duration in a cosmic or astronomical context (e.g., epochs, eras, or other large-scale time spans).
-
E.
estimatedAgeInMillionsOfYears
Indicates the approximate age of something expressed in units of millions of years.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03fb7f8a88190a8bd45208bda4a03 |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0335a635881909c58c1ef0f97f1e8 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03fb6bb7c81909c5629fba408dc69 |
completed | March 22, 2026, 7:15 p.m. |
Created at: March 22, 2026, 4:02 p.m.