Triple
T19298388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhurong rover |
E482626
|
entity |
| Predicate | reasonForContactLoss |
P135176
|
FINISHED |
| Object | Likely dust accumulation on solar panels |
—
|
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: Likely dust accumulation on solar panels | Statement: [Zhurong rover, reasonForContactLoss, Likely dust accumulation on solar panels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForContactLoss Context triple: [Zhurong rover, reasonForContactLoss, Likely dust accumulation on solar panels]
-
A.
timeOfLossOfContactUTC
Indicates the specific time, expressed in Coordinated Universal Time (UTC), at which contact with an entity was lost.
-
B.
lostSupportOf
Indicates that one entity no longer has the backing, approval, or endorsement of another entity that previously supported it.
-
C.
reasonForDiscontinuation
Indicates that one entity specifies the cause or justification for stopping, ending, or withdrawing another entity, process, or activity.
-
D.
causedLossOf
Indicates that one entity brought about or was responsible for another entity experiencing a loss.
-
E.
reasonForPoorReception
Indicates that the predicate specifies the cause or explanation for why something was received poorly or negatively.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc86f8648190920d122bb141c6e5 |
completed | April 20, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0bc7508190a6f9d56bd4c3404f |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4ddcf50108190a09d0f1291c17374 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 1:31 p.m.