Triple
T12475351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R-1 missile |
E298160
|
entity |
| Predicate | testSite |
P1205
|
FINISHED |
| Object | Kapustin Yar |
E332905
|
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: Kapustin Yar | Statement: [R-1 missile, testSite, Kapustin Yar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kapustin Yar Context triple: [R-1 missile, testSite, Kapustin Yar]
-
A.
Kapustin Yar
chosen
Kapustin Yar is a Russian military rocket launch and development site historically used for early Soviet missile and space tests.
-
B.
Yalutorovsk
Yalutorovsk is a historic town in western Siberia, Russia, known for its 17th-century origins as a fortress settlement and its location on the Tobol River.
-
C.
Kasimov
Kasimov is a historic town in central Russia known for its Tatar heritage, medieval architecture, and location on the Oka River.
-
D.
Kireyevsk
Kireyevsk is a small industrial town in western Russia known for its coal-mining history and location within the Tula region.
-
E.
Krasnoturyinsk
Krasnoturyinsk is an industrial town in Russia’s Ural region known for its mining and metallurgical industries.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dcb194c81908b5e0320ddfd463c |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684d4821c8190aa29db4b35262e8e |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 8, 2026, 9:56 p.m.