Triple
T24722200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luna 8 |
E612335
|
entity |
| Predicate | programCountry |
P129303
|
FINISHED |
| Object | Soviet Union |
—
|
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: Soviet Union | Statement: [Luna 8, programCountry, Soviet Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programCountry Context triple: [Luna 8, programCountry, Soviet Union]
-
A.
compositionCountry
Indicates the country in which something (typically a work or item) was created, composed, or produced.
-
B.
countryOf
Indicates that one entity is the country to which another entity belongs, is located in, or is associated with.
-
C.
composerCountry
Indicates the country with which a composer is associated, typically by birth, citizenship, or primary activity.
-
D.
countryRepresented
Indicates that one entity serves as the official representative (such as an athlete, diplomat, or delegate) of a specific country in a given context or event.
-
E.
productionCountries
chosen
Indicates the countries where a work (such as a film or TV show) was produced or financed.
- F. None of above.
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_69e2d7d6e7a48190bb43b0d8bb1137a0 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:41 a.m.