Triple
T12564504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zamość County |
E295431
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Krasnobród |
E1180059
|
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: Krasnobród | Statement: [Zamość County, contains, Krasnobród]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krasnobród Context triple: [Zamość County, contains, Krasnobród]
-
A.
Krasnobród
chosen
Krasnobród is a small town in southeastern Poland known for its historical role in World War II and as a local tourist and spa destination in the Roztocze region.
-
B.
Kresowa
Kresowa is the nickname of the Polish 5th Kresowa Infantry Division, a World War II unit of the Polish Armed Forces in the West composed largely of soldiers from the eastern borderlands (Kresy).
-
C.
Kraśnik
Kraśnik is a town in eastern Poland known for its historical architecture and location within the Lublin region.
-
D.
Korczyna
Korczyna is a village in southeastern Poland, known as a local administrative and residential center within the Subcarpathian region.
-
E.
Krasnystaw
Krasnystaw is a town in eastern Poland known for its agricultural surroundings and annual Chmielaki beer and hops festival.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9549611c081909e611756f3cce7f0 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00077201c08190a0c3bb259856d5c9 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 8, 2026, 11:49 p.m.