Triple
T10601270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odesa Oblast |
E275751
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Yuzhne |
E822742
|
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: Yuzhne | Statement: [Odesa Oblast, containsTown, Yuzhne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuzhne Context triple: [Odesa Oblast, containsTown, Yuzhne]
-
A.
Yuzhne
chosen
Yuzhne is a port city on the Black Sea coast of southern Ukraine, known for its major industrial and maritime facilities.
-
B.
Podporozhye
Podporozhye is a town in northwestern Russia situated within Leningrad (Saint Petersburg) Oblast, known for its location along the Svir River.
-
C.
Krasnoufimsk
Krasnoufimsk is a small historic town in Russia’s Ural region, known for its traditional architecture and role as a local administrative and cultural center.
-
D.
Yuzovka
Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
-
E.
Krasnoturyinsk
Krasnoturyinsk is an industrial town in Russia’s Ural region known for its mining and metallurgical industries.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6ded52f288190b40288d0acbe009b |
completed | April 8, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95ea8f1688190aa36e29b52667d26 |
completed | April 10, 2026, 8:33 p.m. |
Created at: April 8, 2026, 7:31 p.m.