Triple
T10319592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Celestial Reference System |
E242104
|
entity |
| Predicate | coordinateUnit |
P93349
|
FINISHED |
| Object | degree |
—
|
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: degree | Statement: [International Celestial Reference System, coordinateUnit, degree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coordinateUnit Context triple: [International Celestial Reference System, coordinateUnit, degree]
-
A.
nativeUnit
Indicates that one unit is the original, inherent, or default measurement unit associated with a given quantity or entity.
-
B.
basedUnit
Indicates that one unit is defined in terms of, or derived from, another more fundamental unit.
-
C.
representationUnit
Indicates a relationship where one entity serves as the representational unit or basic representational component used to express, encode, or stand in for another entity or concept.
-
D.
spatialUnitType
Indicates the specific kind or category of spatial unit (e.g., parcel, building, region) that characterizes the spatial entity in question.
-
E.
baseUnitOf
Indicates that one unit serves as the fundamental reference or standard measurement unit for another derived or related unit.
- 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_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. |
| PDg | Predicate description generation | batch_69d4d7cada7881908beba55a1dc9ecb9 |
completed | April 7, 2026, 10:09 a.m. |
Created at: April 6, 2026, 11:49 a.m.