Triple
T1197547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deep Space Network |
E25702
|
entity |
| Predicate | angularSeparationBetweenComplexes |
P25709
|
FINISHED |
| Object | approximately 120 degrees in longitude |
—
|
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: approximately 120 degrees in longitude | Statement: [Deep Space Network, angularSeparationBetweenComplexes, approximately 120 degrees in longitude]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: angularSeparationBetweenComplexes Context triple: [Deep Space Network, angularSeparationBetweenComplexes, approximately 120 degrees in longitude]
-
A.
isAsterismOf
Indicates that one or more stars collectively form or belong to a specific asterism.
-
B.
numberOfStarsInConstellation
Indicates the numerical count of stars that belong to a given constellation.
-
C.
areaSquareDegrees
Indicates the extent of a region or object measured as an area on the sky in square degrees.
-
D.
relatedConstellation
Indicates a relationship where one entity is associated with, connected to, or corresponds to a particular constellation.
-
E.
angularSize
Indicates the apparent size of an object as seen from a given point, typically measured as the angle it subtends at the observer.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd9a305c819091513394f1b67784 |
completed | March 1, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5d40a08190b7682d8ef8075421 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc49693c8190978ec63a5171d342 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:46 p.m.