Triple
T17480895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savyolovsky railway terminal |
E425654
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Kimry |
—
|
NE NERFINISHED |
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: Kimry | Statement: [Savyolovsky railway terminal, connectsTo, Kimry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kimry Context triple: [Savyolovsky railway terminal, connectsTo, Kimry]
-
A.
Kimry
chosen
Kimry is a small Russian town on the Volga River known historically for its shoemaking industry and wooden architecture.
-
B.
Tyarlevo
Tyarlevo is a rural locality in Russia that forms part of the Pushkinsky District near Saint Petersburg.
-
C.
Vytegra
Vytegra is a small town in northwestern Russia known as a regional center near Lake Onega and the White Sea–Baltic Canal.
-
D.
Kazimayn
Kazimayn is a major Shia Muslim pilgrimage city in Iraq, renowned for its shrine housing the tombs of the seventh and ninth Shia Imams.
-
E.
Stockheim
Stockheim is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451bfd75481908c20bc2c1cbff593 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:48 a.m.