Triple
T11264217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aralsk |
E266641
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Аральск (Russian) |
E266641
|
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: Аральск (Russian) | Statement: [Aralsk, hasNameInLanguage, Аральск (Russian)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Аральск (Russian) Context triple: [Aralsk, hasNameInLanguage, Аральск (Russian)]
-
A.
Aralsk
chosen
Aralsk is a town in southwestern Kazakhstan historically known as a fishing port on the Aral Sea before the sea’s dramatic shrinkage.
-
B.
Akmolinsk
Akmolinsk is the former name of Kazakhstan’s capital city, now known as Astana.
-
C.
Alma-Atinskaya
Alma-Atinskaya is a southern terminus station of the Moscow Metro, serving as one endpoint of the Zamoskvoretskaya Line.
-
D.
Almaly
Almaly is a central underground metro station in Almaty, Kazakhstan, serving the city's rapid transit system.
-
E.
Kapustin Yar
Kapustin Yar is a Russian military rocket launch and development site historically used for early Soviet missile and space tests.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94d56048190bf808e1bc2188714 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ccc7fdc48190a84b8b584f67b464 |
completed | April 19, 2026, 12:38 p.m. |
Created at: April 8, 2026, 9:31 p.m.