Triple
T10319506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Terrestrial Reference System |
E242103
|
entity |
| Predicate | referenceFrameType |
P76579
|
FINISHED |
| Object | Earth-centered Earth-fixed |
—
|
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: Earth-centered Earth-fixed | Statement: [International Terrestrial Reference System, referenceFrameType, Earth-centered Earth-fixed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referenceFrameType Context triple: [International Terrestrial Reference System, referenceFrameType, Earth-centered Earth-fixed]
-
A.
frameType
Indicates the specific structural or categorical kind of frame associated with an entity or relation.
-
B.
usedReferenceFrame
Indicates that one entity adopts or relies on another entity as the coordinate system or reference frame for describing positions, motions, or measurements.
-
C.
relativeMotionType
Indicates the type or nature of motion occurring between two entities relative to one another.
-
D.
frame
Indicates placing or presenting something within a particular context, structure, or perspective that shapes how it is interpreted.
-
E.
hasFrameType
chosen
Indicates that an entity possesses or is associated with a specific type or category of frame.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f4f354819080b4ed4bc61bdff6 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:49 a.m.