Triple
T6704178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oświęcim County |
E152956
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Kęty |
E618896
|
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: Kęty | Statement: [Oświęcim County, hasMajorTown, Kęty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kęty Context triple: [Oświęcim County, hasMajorTown, Kęty]
-
A.
Kęty
chosen
Kęty is a historic town in southern Poland, located in the Lesser Poland region and known for its traditional industry and proximity to the Beskid Mountains.
-
B.
Łęczna
Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
D.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
E.
Krzemień
Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0e919748190953d893eb61724e7 |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723bb93c881908fdb9f1924842314 |
completed | March 28, 2026, 12:41 a.m. |
Created at: March 27, 2026, 2:06 p.m.