Triple
T6656665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarnów County |
E150961
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Żabno |
E661900
|
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: Żabno | Statement: [Tarnów County, containsSettlement, Żabno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Żabno Context triple: [Tarnów County, containsSettlement, Żabno]
-
A.
Żabno
chosen
Żabno is a small town in southern Poland, historically situated in the former Tarnów Voivodeship and known for its local trade and agricultural surroundings.
-
B.
Żagań
Żagań is a town in western Poland known for its historic architecture and its World War II prisoner-of-war camp, Stalag Luft III, site of the “Great Escape.”
-
C.
Jaworzno
Jaworzno is a city in southern Poland, located in the Silesian Voivodeship and known for its industrial heritage and role in the Upper Silesian urban area.
-
D.
Zabrze
Zabrze is an industrial city in the Silesian region of southern Poland, historically known for coal mining and heavy industry.
-
E.
Choszczno
Choszczno is a small town in northwestern Poland known for its lakes, forests, and role as a local administrative and service center.
- 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b06dbbf88190b39564a688c25a24 |
completed | March 27, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d56f68630081908564dca6c3c81f14 |
completed | April 7, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2:01 p.m.