Triple
T5943501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jelgava |
E132222
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Ivanovo |
E419902
|
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: Ivanovo | Statement: [Jelgava, hasTwinTown, Ivanovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ivanovo Context triple: [Jelgava, hasTwinTown, Ivanovo]
-
A.
Balashov
Balashov is a town in southwestern Russia that serves as an important local administrative and transportation center within Saratov Oblast.
-
B.
Balakovo
Balakovo is a city in Russia’s Saratov Oblast known as an industrial and energy hub on the Volga River.
-
C.
Ryazan
Ryazan is a historic city in western Russia known for its medieval kremlin, role as a regional cultural and economic center, and legacy as one of the country’s oldest urban settlements.
-
D.
Ivanovo Oblast
chosen
Ivanovo Oblast is a region in central Russia known historically for its textile industry and often referred to as part of the country’s “Golden Ring” of ancient cities.
-
E.
Oryol
Oryol was a notable warship of the Imperial Russian Navy, recognized for its role in Russia’s early modern naval history.
- 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0393641d0819081c6c44816d94e4e |
completed | March 22, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c07f9ab081909fe7727837fa7f7a |
completed | March 23, 2026, 4:24 a.m. |
Created at: March 22, 2026, 4:01 p.m.