Triple
T8803669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SAS-3 |
E209470
|
entity |
| Predicate | programPosition |
P53670
|
FINISHED |
| Object | third satellite in the Small Astronomy Satellite program |
—
|
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: third satellite in the Small Astronomy Satellite program | Statement: [SAS-3, programPosition, third satellite in the Small Astronomy Satellite program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programPosition Context triple: [SAS-3, programPosition, third satellite in the Small Astronomy Satellite program]
-
A.
playingPosition
Indicates the specific role or position an individual occupies while participating in a game or sport.
-
B.
programSequence
Indicates that one program or step occurs in a specific order directly before or after another within a defined sequence.
-
C.
programSequenceNumber
chosen
Indicates the position or order of a program within a sequence or series of programs.
-
D.
currentProgram
Indicates that an entity is the program or process that is presently active or being executed in a given context.
-
E.
positionNumber
Indicates the specific ordinal or identifying number assigned to a position within an ordered set or organizational structure.
- 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fbe15b081909e87dab6b5029d04 |
completed | March 31, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1f28ec8190a34311cb412920c2 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:44 p.m.