Triple
T2951577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earth-centered Earth-fixed |
E79830
|
entity |
| Predicate | transformationTo |
P28821
|
FINISHED |
| Object | local East-North-Up frame |
—
|
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: local East-North-Up frame | Statement: [Earth-centered Earth-fixed, transformationTo, local East-North-Up frame]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transformationTo Context triple: [Earth-centered Earth-fixed, transformationTo, local East-North-Up frame]
-
A.
transformationLocation
Indicates the place or spatial context where a transformation or change of state occurs.
-
B.
movementTransformed
Indicates that an entity’s movement has been altered or converted from one form, state, or pattern into another.
-
C.
transformsUnder
Indicates a relationship where one entity changes form, state, or structure when subjected to the influence, conditions, or operation specified by another entity.
-
D.
coordinateTransformation
chosen
Indicates a relationship where one coordinate system is mathematically converted or mapped into another, preserving the correspondence of points between them.
-
E.
transitionTo
Indicates a change in state, condition, or phase from one defined status to another.
- 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98fcea5c8190b7d80de942bcb4f7 |
completed | March 8, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69ad960a70ac8190816b5ae3e8631031 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:57 p.m.