Triple
T2780023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luna program launch vehicles |
E61668
|
entity |
| Predicate | includesVariant |
P455
|
FINISHED |
| Object | Luna 8K72K |
E298162
|
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 8K72K | Statement: [Luna program launch vehicles, includesVariant, Luna 8K72K]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luna 8K72K Context triple: [Luna program launch vehicles, includesVariant, Luna 8K72K]
-
A.
Luna 8K72
chosen
Luna 8K72 was an early Soviet launch vehicle derived from the R-7 rocket family and used to send some of the first Luna spacecraft toward the Moon.
-
B.
Luneta
Luneta is the historic urban park in Manila, Philippines, renowned as a national landmark and popular public gathering place.
-
C.
Luna 3
Luna 3 was a Soviet spacecraft launched in 1959 that became the first mission to photograph the far side of the Moon.
-
D.
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.
-
E.
Kaguya (SELENE) lunar orbiter
Kaguya (SELENE) was a Japanese lunar orbiter mission that conducted detailed scientific mapping and observation of the Moon’s surface, gravity, and environment.
- 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_69ab4b7e43c48190997b8fc8fb1663ab |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd97e9988190a9065a70b878a675 |
completed | March 7, 2026, 8:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc64f94208190b9b8da1fdf6252cc |
completed | March 10, 2026, 7:20 a.m. |
Created at: March 6, 2026, 9:57 p.m.