Triple
T28880723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GW170814 |
E732408
|
entity |
| Predicate | hasRightAscensionUncertainty |
P176314
|
FINISHED |
| Object | tens of square degrees |
—
|
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: tens of square degrees | Statement: [GW170814, hasRightAscensionUncertainty, tens of square degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRightAscensionUncertainty Context triple: [GW170814, hasRightAscensionUncertainty, tens of square degrees]
-
A.
hasOrbitalUncertainty
Indicates that the orbit of an object is not precisely determined and carries some degree of measurement or prediction uncertainty.
-
B.
containsRightAscension
Indicates that something includes or specifies the right ascension coordinate of an astronomical object or position.
-
C.
astrometricAccuracy
Indicates the degree of precision with which the position and motion of an astronomical object are measured or determined.
-
D.
hasRightAscensionConstellation
Indicates that an astronomical object’s right ascension places it within a specific constellation.
-
E.
meanProperMotionUncertainty
Indicates the uncertainty associated with the measured mean proper motion of an object.
- 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_69f05b06807c81909b4bbd4c20403a2b |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6dfcafd0c81908d86662948c539d6 |
completed | May 3, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6df418f488190a5e7ff41f32dceda |
completed | May 3, 2026, 5:38 a.m. |
Created at: April 28, 2026, 7:43 a.m.