Triple
T33397275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barycentric Celestial Reference System |
E855203
|
entity |
| Predicate | precisionGoal |
P9771
|
FINISHED |
| Object | microarcsecond astrometry |
—
|
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: microarcsecond astrometry | Statement: [Barycentric Celestial Reference System, precisionGoal, microarcsecond astrometry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precisionGoal Context triple: [Barycentric Celestial Reference System, precisionGoal, microarcsecond astrometry]
-
A.
precision
chosen
Indicates the degree to which an action, measurement, or outcome is carried out with exactness, minimal deviation, and fine-grained accuracy.
-
B.
curacy
Indicates that one entity serves in the role or position of a curate (assistant clergy) in relation to another entity, typically a parish or church.
-
C.
calibrationGoal
Indicates that an entity serves as a target or reference state used to guide or evaluate the calibration of another entity or system.
-
D.
landingPrecisionGoal
Indicates the intended level of accuracy or closeness with which a landing is planned to reach its target location.
-
E.
stabilityGoal
Indicates a relationship where an action, policy, or entity is aimed at achieving, maintaining, or enhancing stability in a given system or context.
- 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_69f3496e3f1c8190bcecfa82aa9d17ff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:35 a.m.