Triple
T3626173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Crosse |
E76843
|
entity |
| Predicate | hasSisterCity |
P919
|
FINISHED |
| Object | Dubna, Russia |
E264944
|
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: Dubna, Russia | Statement: [La Crosse, hasSisterCity, Dubna, Russia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dubna, Russia Context triple: [La Crosse, hasSisterCity, Dubna, Russia]
-
A.
Dubna
chosen
Dubna is a Russian town in the Moscow Oblast best known as a major center for nuclear research and home to the Joint Institute for Nuclear Research.
-
B.
Sarov
Sarov is a closed Russian city in Nizhny Novgorod Oblast known as a major center for nuclear research and weapons development.
-
C.
Lomonosov, Russia
Lomonosov is a historic town near Saint Petersburg, Russia, known for its imperial-era architecture and as the birthplace of composer Igor Stravinsky.
-
D.
Sverdlovsk, Soviet Union
Sverdlovsk, Soviet Union was a major industrial city in the Ural region of Russia, historically known as a key military and manufacturing center during the Soviet era.
-
E.
Elektrostal
Elektrostal is an industrial city in Russia known for its metallurgical and engineering industries, located east of Moscow.
- 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2dc011c8190a6596f4b483fb078 |
completed | March 8, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4332488d88190ac70846388b7ff13 |
completed | March 13, 2026, 3:54 p.m. |
Created at: March 8, 2026, 3:23 p.m.