Triple
T8347542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orvieto |
E196077
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object | Krasnystaw |
E471992
|
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: Krasnystaw | Statement: [Orvieto, twinnedWith, Krasnystaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krasnystaw Context triple: [Orvieto, twinnedWith, Krasnystaw]
-
A.
Krasnystaw
chosen
Krasnystaw is a town in eastern Poland known for its agricultural surroundings and annual Chmielaki beer and hops festival.
-
B.
Kraśnik
Kraśnik is a town in eastern Poland known for its historical architecture and location within the Lublin region.
-
C.
Zolkiewka
Zolkiewka is a village in eastern Poland, historically home to a significant Jewish community before World War II.
-
D.
Włodawa
Włodawa is a town in eastern Poland near the borders with Belarus and Ukraine, known for its multicultural heritage and proximity to the former Sobibor extermination camp.
-
E.
Kołomyja
Kołomyja is a historic city in western Ukraine known for its cultural heritage and traditional Hutsul art.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb801588e881908ac0a291280ac0f8 |
completed | March 31, 2026, 8:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1cfe284081909410e023c44c7472 |
completed | April 2, 2026, 7:38 a.m. |
Created at: March 30, 2026, 5:58 p.m.