Triple
T16699569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proskuriv |
E405807
|
entity |
| Predicate | hasHistoricalNameForm |
P66486
|
FINISHED |
| Object | Proskurów (Polish) |
E935102
|
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: Proskurów (Polish) | Statement: [Proskuriv, hasHistoricalNameForm, Proskurów (Polish)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Proskurów (Polish) Context triple: [Proskuriv, hasHistoricalNameForm, Proskurów (Polish)]
-
A.
Prószków
Prószków is a small town in southwestern Poland known for its historical architecture and location near the regional capital, Opole.
-
B.
Bystrzyca (Polish)
Bystrzyca is a river in southwestern Poland that flows through the Sudetes and the city of Wrocław before joining the Oder River.
-
C.
Proskurov
chosen
Proskurov is the former name of the Ukrainian city now known as Khmelnytskyi, a regional center in western Ukraine.
-
D.
Bzura (Polish)
Bzura (Polish) is the Polish name of the Bzura River, a tributary of the Vistula in central Poland known for its historical significance, including battles during World War II.
-
E.
Sokołówka
Sokołówka is a small river in Poland known for flowing through the city of Łódź and its surrounding areas.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e383300d108190911e3cba8e07f2dd |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00919ee61c81909928dd26270e9614 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.