Triple
T20480391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GD-1 stream |
E502434
|
entity |
| Predicate | hasReferenceFrame |
P124922
|
FINISHED |
| Object | Galactocentric coordinates |
—
|
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: Galactocentric coordinates | Statement: [GD-1 stream, hasReferenceFrame, Galactocentric coordinates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReferenceFrame Context triple: [GD-1 stream, hasReferenceFrame, Galactocentric coordinates]
-
A.
usedReferenceFrame
Indicates that one entity adopts or relies on another entity as the coordinate system or reference frame for describing positions, motions, or measurements.
-
B.
hasReferenceID
Indicates that an entity is associated with a specific reference identifier used to uniquely track or distinguish it.
-
C.
hasRestFrame
Indicates that an entity possesses or is associated with a specific inertial frame of reference in which it is considered at rest.
-
D.
isReferencePointFor
Indicates that one entity serves as a positional or conceptual basis used to locate, measure, or interpret another entity.
-
E.
usesFrame
chosen
Indicates that one entity employs, relies on, or is structured around a particular frame, framework, or reference structure provided by another entity.
- 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b55d7a881909dfe3ea0e74b742b |
completed | April 20, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
Created at: April 16, 2026, 11:34 a.m.