Triple
T18077789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-132 |
E432601
|
entity |
| Predicate | visitedISSModule |
P99686
|
FINISHED |
| Object | Poisk |
—
|
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: Poisk | Statement: [STS-132, visitedISSModule, Poisk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poisk Context triple: [STS-132, visitedISSModule, Poisk]
-
A.
Poisk
chosen
Poisk is a Russian-built docking and airlock module on the International Space Station used for spacecraft berthing and spacewalks.
-
B.
Mishenka
Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
-
C.
Lastochka
Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
-
D.
Fugar
Fugar is a prominent town in Nigeria known as one of the key urban centers in Edo State.
-
E.
Podkidysh
Podkidysh is a 1939 Soviet comedy film, best known for featuring the acclaimed actress Faina Ranevskaya in one of her most memorable screen roles.
- 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.