Triple
T9538046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shuttle Imaging Radar-B |
E230069
|
entity |
| Predicate | repeatPassCapability |
P89686
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Shuttle Imaging Radar-B, repeatPassCapability, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: repeatPassCapability Context triple: [Shuttle Imaging Radar-B, repeatPassCapability, yes]
-
A.
hasRetakePolicy
Indicates that there is a defined policy governing whether and how something (such as an exam, course, or assessment) may be taken again after an initial attempt.
-
B.
repetitionOf
Indicates that one entity is a repeated occurrence or instance of another entity, preserving the same content or pattern.
-
C.
hasPass
Indicates that an entity possesses or has been granted a pass, such as a ticket, permit, or authorization to access something.
-
D.
usesRepetition
Indicates that one entity employs repeated elements, actions, or patterns as a deliberate feature or technique in relation to another entity or context.
-
E.
safeToRepeat
Indicates that performing the same action or operation again under the current conditions is considered acceptable and will not cause harm or undesired effects.
- 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98cfead8819089a8f47ea83500a4 |
completed | April 1, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69ccd58bd21881908b860e3ee469af13 |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93e90048190a2b0d7c5c195ba98 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:01 p.m.