Triple
T5958652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betelgeuse |
E132578
|
entity |
| Predicate | isObservableIn |
P34153
|
FINISHED |
| Object | optical wavelengths |
—
|
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: optical wavelengths | Statement: [Betelgeuse, isObservableIn, optical wavelengths]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isObservableIn Context triple: [Betelgeuse, isObservableIn, optical wavelengths]
-
A.
isObservedIn
chosen
Indicates that something (such as a phenomenon, property, or behavior) is detected, recorded, or found to occur within a particular context, setting, or environment.
-
B.
isObservedOn
Indicates that a particular phenomenon, condition, or attribute is detected or recorded at a specific time, date, or occasion.
-
C.
isObservedFrom
Indicates that one entity serves as the vantage point or location from which another entity is perceived, measured, or monitored.
-
D.
observedFor
Indicates that one entity is monitored, watched, or examined over a period of time for the benefit or analysis of another entity.
-
E.
observedBy
Indicates that an entity is perceived, monitored, or recorded by another entity acting as the observer.
- 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_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. |
Created at: March 22, 2026, 4:02 p.m.