Triple
T34827450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luna Ye-8 series |
E1003966
|
entity |
| Predicate | firstSuccessfulSampleReturn |
P205572
|
FINISHED |
| Object | Luna 16 |
E317879
|
NE 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: Luna 16 | Statement: [Luna Ye-8 series, firstSuccessfulSampleReturn, Luna 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSuccessfulSampleReturn Context triple: [Luna Ye-8 series, firstSuccessfulSampleReturn, Luna 16]
-
A.
firstAsteroidWithSampleReturn
Indicates that the subject is the first asteroid from which a sample was successfully collected and returned to a receiving body (such as Earth).
-
B.
firstSuccessfulLander
Indicates that the subject entity is the earliest one to have successfully landed on the specified target or within the given context.
-
C.
firstSuccessfulDockingWith
Indicates that one entity is the first other entity with which the subject successfully completed a docking operation.
-
D.
firstLandingAttemptOn
Indicates that an entity makes its initial attempt to land on another entity or location.
-
E.
firstCommercialSpacecraftToReturnFromOrbit
Indicates that the subject is the first commercial spacecraft ever to successfully return to Earth from orbit.
- F. None of above. chosen
Provenance (5 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_69f76db7d1b4819093bd4912d80d845d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37fafadfe481908e2b2f54745308d5 |
completed | June 21, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4 p.m.