Triple
T12807681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luna spacecraft |
E306186
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Luna 25 |
E822843
|
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 25 | Statement: [Luna spacecraft, hasPart, Luna 25]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luna 25 Context triple: [Luna spacecraft, hasPart, Luna 25]
-
A.
Luna 25
chosen
Luna 25 is a Russian lunar lander mission aimed at conducting scientific research and demonstrating landing technology near the Moon’s south polar region.
-
B.
Luna 20
Luna 20 was a Soviet robotic lunar sample-return mission that successfully collected and returned soil from the Moon’s surface in 1972.
-
C.
Chang’e 4
Chang’e 4 is a Chinese lunar mission best known for achieving the first soft landing and rover exploration on the far side of the Moon.
-
D.
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.
-
E.
Luna 10
Luna 10 was a Soviet spacecraft that became the first artificial satellite to orbit the Moon, marking a major milestone in early lunar exploration.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e808130819080f404b3a7462c2e |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5bc5f688190a6fd3716c8266b2c |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 5:31 p.m.