Triple
T2581790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volga region |
E57107
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Tolyatti |
E376949
|
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: Tolyatti | Statement: [Volga region, hasMajorCity, Tolyatti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tolyatti Context triple: [Volga region, hasMajorCity, Tolyatti]
-
A.
Tolyatti
chosen
Tolyatti is a major industrial city in Russia on the Volga River, best known as the home of the AvtoVAZ automobile plant that produces Lada cars.
-
B.
Ulyanovsk
Ulyanovsk is a city in western Russia on the Volga River, best known as the birthplace of Vladimir Lenin and an important regional industrial and cultural center.
-
C.
Penza
Penza is a city in western Russia known as a regional cultural and industrial center.
-
D.
Saratov
Saratov is a major city in southwestern Russia known as an important cultural, educational, and industrial center on the banks of the Volga River.
-
E.
Magnitogorsk
Magnitogorsk is a major industrial city in Russia’s Chelyabinsk Oblast, historically centered around one of the world’s largest iron and steel works.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3c843bc8190837cea3441bf3ca1 |
completed | March 7, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5335421348190a18cb74cdd885c82 |
completed | March 14, 2026, 10:07 a.m. |
Created at: March 6, 2026, 9:49 p.m.