Triple
T28729891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassini radar altimetry |
E730626
|
entity |
| Predicate | measurementGeometry |
P81580
|
FINISHED |
| Object | nadir-looking radar configuration |
—
|
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: nadir-looking radar configuration | Statement: [Cassini radar altimetry, measurementGeometry, nadir-looking radar configuration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: measurementGeometry Context triple: [Cassini radar altimetry, measurementGeometry, nadir-looking radar configuration]
-
A.
observationGeometry
chosen
Indicates the spatial and directional configuration between an observer and a target at the time an observation is made.
-
B.
geometricSetting
Indicates the spatial or geometric context within which an object, relation, or event is defined or occurs.
-
C.
geometricFeature
Indicates a relationship where one entity possesses or is characterized by a specific geometric property, shape, or structural feature.
-
D.
geometricConfiguration
Indicates the specific spatial arrangement and relationships among parts or elements within a geometric structure.
-
E.
measurementSetting
Indicates the specific conditions, parameters, or configuration under which a measurement is taken or recorded.
- 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_69f043eae0908190b28ce314686247d7 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 5:58 a.m.