Triple
T6704153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oświęcim County |
E152956
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kęty
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.
|
E618896
|
NE FINISHED |
How this triple was built (4 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, contains, Kęty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kęty Context triple: [Oświęcim County, contains, Kęty]
-
A.
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.
-
B.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
C.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
D.
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.
-
E.
Korczyc
Korczyc is a Polish surname most notably borne by Władysław Korczyc, a general and political figure in mid-20th-century Poland.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kęty Triple: [Oświęcim County, contains, Kęty]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kęty Target entity description: 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.
-
A.
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.
-
B.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
C.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
D.
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.
-
E.
Korczyc
Korczyc is a Polish surname most notably borne by Władysław Korczyc, a general and political figure in mid-20th-century Poland.
- F. None of above. chosen
Provenance (5 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_69c71a6c302881908fe805ef6e82465f |
completed | March 28, 2026, 12:01 a.m. |
| NEDg | Description generation | batch_69c71b32ea00819080a25375e12837ec |
completed | March 28, 2026, 12:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71b98b8008190a972cc0a215295c0 |
completed | March 28, 2026, 12:06 a.m. |
Created at: March 27, 2026, 2:06 p.m.