Triple
T6727242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luna 11 |
E153546
|
entity |
| Predicate | imagingSystemStatus |
P5870
|
FINISHED |
| Object | failed to return planned lunar surface images |
—
|
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: failed to return planned lunar surface images | Statement: [Luna 11, imagingSystemStatus, failed to return planned lunar surface images]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imagingSystemStatus Context triple: [Luna 11, imagingSystemStatus, failed to return planned lunar surface images]
-
A.
operatingStatus
chosen
Indicates whether an entity is currently functioning, active, or in service versus inactive, closed, or out of service.
-
B.
AOCStatus
Indicates the operational certification status or approval condition associated with an entity.
-
C.
automationStatus
Indicates whether a process, task, or system is being performed automatically or requires manual intervention.
-
D.
IAUStatus
Indicates the formal classification or recognition status of an astronomical object or entity as defined by the International Astronomical Union (IAU).
-
E.
operatorStatus
Indicates the current operational state or condition of an operator (e.g., active, inactive, or in error).
- 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_69c6880afb988190ad88011b48ecfcba |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d354177481908ab3cf5437c095e2 |
completed | March 27, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69c6d08e8a2c8190ae4e8d8c039be7ce |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:08 p.m.