Triple
T28440571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpha Canis Majoris |
E715697
|
entity |
| Predicate | binaryEccentricity |
P20350
|
FINISHED |
| Object | about 0.59 |
—
|
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: about 0.59 | Statement: [Alpha Canis Majoris, binaryEccentricity, about 0.59]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: binaryEccentricity Context triple: [Alpha Canis Majoris, binaryEccentricity, about 0.59]
-
A.
orbitalEccentricity
chosen
Indicates the degree to which an orbit deviates from a perfect circle, quantifying how elongated the orbital path is.
-
B.
isEccentric
Indicates that an entity behaves or appears in a way that deviates noticeably from conventional or expected norms.
-
C.
hasEccentricityPeriod
Indicates a relationship where an object is associated with a specific orbital eccentricity and its corresponding orbital period.
-
D.
hasEccentricity
Indicates that an object or orbit possesses a specific degree of deviation from being perfectly circular, quantified by its eccentricity value.
-
E.
eccentricityClass
Indicates the classification of how unconventional or atypical an entity’s behavior, properties, or characteristics are relative to a defined norm.
- 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_69efd6b44550819094ae991b553d9fc3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 1:45 a.m.