Triple
T9415356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Białystok County |
E227003
|
entity |
| Predicate | hasUrbanCenter |
P2106
|
FINISHED |
| Object |
Choroszcz
Choroszcz is a small town in northeastern Poland known for its historical architecture and proximity to the regional capital Białystok.
|
E798111
|
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: Choroszcz | Statement: [Białystok County, hasUrbanCenter, Choroszcz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Choroszcz Context triple: [Białystok County, hasUrbanCenter, Choroszcz]
-
A.
Chodzież
Chodzież is a town in west-central Poland known for its ceramics industry and picturesque lakeside setting.
-
B.
Chorkówka
Chorkówka is a village in southeastern Poland known historically as the place where pioneering oil industry chemist and pharmacist Ignacy Łukasiewicz spent his final years and died.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
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.
Korsze
Korsze is a small town in northern Poland, situated in the Warmian-Masurian Voivodeship and known as a local rail and service center for the surrounding rural area.
- 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: Choroszcz Triple: [Białystok County, hasUrbanCenter, Choroszcz]
Generated description
Choroszcz is a small town in northeastern Poland known for its historical architecture and proximity to the regional capital Białystok.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Choroszcz Target entity description: Choroszcz is a small town in northeastern Poland known for its historical architecture and proximity to the regional capital Białystok.
-
A.
Chodzież
Chodzież is a town in west-central Poland known for its ceramics industry and picturesque lakeside setting.
-
B.
Chorkówka
Chorkówka is a village in southeastern Poland known historically as the place where pioneering oil industry chemist and pharmacist Ignacy Łukasiewicz spent his final years and died.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
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.
Korsze
Korsze is a small town in northern Poland, situated in the Warmian-Masurian Voivodeship and known as a local rail and service center for the surrounding rural area.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd68c7bd648190b17f082883c98239 |
completed | April 1, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107baad74819090a746c06feb28ac |
completed | April 4, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69d108477df08190b529426b09eb6e5a |
completed | April 4, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d108dbc1948190967c56ad877659cb |
completed | April 4, 2026, 12:49 p.m. |
Created at: March 30, 2026, 7:48 p.m.