Triple
T5150764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrestrial Time |
E116186
|
entity |
| Predicate | frame |
P62244
|
FINISHED |
| Object | geocentric reference 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: geocentric reference frame | Statement: [Terrestrial Time, frame, geocentric reference frame]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frame Context triple: [Terrestrial Time, frame, geocentric reference frame]
-
A.
frameType
Indicates the specific structural or categorical kind of frame associated with an entity or relation.
-
B.
frameSize
Indicates the size or dimensions of a frame associated with an entity.
-
C.
frameOfAction
Indicates the contextual situation, setting, or circumstances within which an action or event takes place.
-
D.
framesAs
Indicates how one entity presents, characterizes, or interprets another entity or situation in a particular light or context.
-
E.
frameDevice
Indicates that one entity serves as a structural or supporting frame for another device or 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_69bd445d94788190b72e2cc563120995 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c1354c81908176703b4853c1a4 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b0fbb88190851e2d7ae1bdcc09 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd79bf9b088190a556dc02f10204e4 |
completed | March 20, 2026, 4:45 p.m. |
Created at: March 20, 2026, 1:44 p.m.