Triple
T13626686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Izium salient |
E325600
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Izium |
E477414
|
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: Izium | Statement: [Izium salient, namedAfter, Izium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Izium Context triple: [Izium salient, namedAfter, Izium]
-
A.
Izium
chosen
Izium is a strategically important city in eastern Ukraine’s Kharkiv Oblast that became a major battleground and logistics hub during the 2022 Russian invasion.
-
B.
Zhukhrai
Zhukhrai is a supporting character in Nikolai Ostrovsky’s socialist realist novel "How the Steel Was Tempered," serving as a revolutionary mentor figure who helps shape the protagonist’s political consciousness.
-
C.
Jabrayil
Jabrayil is a town in southwestern Azerbaijan that became a key strategic location and symbol of territorial gains during the 2020 Nagorno-Karabakh war.
-
D.
Khasavyurt
Khasavyurt is a significant urban center in the Republic of Dagestan, Russia, known as an important regional hub in the North Caucasus.
-
E.
Gorlovka
Gorlovka is an industrial city in eastern Ukraine's Donetsk region, historically known as a coal-mining center and a focal point in various military conflicts.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9c72c88190be3d7a3f2e96afbc |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77fa6a46881909d381d76d391f5b7 |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:51 p.m.