Triple
T18077751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-132 |
E432601
|
entity |
| Predicate | deliveredModule |
P1386
|
FINISHED |
| Object | Rassvet |
—
|
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: Rassvet | Statement: [STS-132, deliveredModule, Rassvet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rassvet Context triple: [STS-132, deliveredModule, Rassvet]
-
A.
Rassvet
chosen
Rassvet is a Russian-built research and docking module attached to the International Space Station, used primarily for visiting spacecraft and cargo storage.
-
B.
Kosmodemyanskaya
Kosmodemyanskaya is a Russian surname most famously borne by Zoya Kosmodemyanskaya, a celebrated Soviet partisan and Hero of the Soviet Union during World War II.
-
C.
Almaz
"Almaz" is a soulful 1986 jazz and R&B ballad by American singer Randy Crawford, known for its smooth vocals and romantic, melodic style.
-
D.
Almaz
Almaz is a Brazilian musical project and band known for its atmospheric fusion of psychedelic rock, soul, and samba, notably backing singer Seu Jorge on the album "Seu Jorge and Almaz."
-
E.
Profsoyuznaya station
Profsoyuznaya station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9f6a85481909894c39c8be98d5d |
completed | April 19, 2026, 1:34 p.m. |
Created at: April 10, 2026, 10:26 a.m.