Triple
T22766438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luna 21 |
E563138
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | Luna 22 |
—
|
NE NERFINISHED |
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 22 | Statement: [Luna 21, successor, Luna 22]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luna 22 Context triple: [Luna 21, successor, Luna 22]
-
A.
Luna 22
chosen
Luna 22 was a Soviet lunar orbiter mission in the 1970s that conducted detailed mapping and scientific study of the Moon’s surface and environment.
-
B.
Luna 23
Luna 23 was a Soviet robotic lunar lander mission from the Luna program in the 1970s, intended to return soil samples from the Moon but ultimately failing to complete its sample-return objective.
-
C.
Luna 28
Luna 28 is a planned Russian lunar mission intended to return samples from the Moon’s surface to Earth as part of the Luna exploration program.
-
D.
Luna 21
Luna 21 was a Soviet lunar mission that delivered the Lunokhod 2 rover to the Moon in 1973 as part of the USSR's robotic exploration program.
-
E.
Luna 13
Luna 13 was a Soviet robotic spacecraft that successfully soft-landed on the Moon in 1966 and transmitted panoramic images and data about the lunar surface.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a80e2688190b76844c408929d32 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:26 p.m.