Triple
T6353627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Pomeranian Voivodeship |
E142935
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Barlinek
Barlinek is a small Polish town known for its picturesque lakes and forests, often associated with eco-tourism and outdoor recreation.
|
E591642
|
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: Barlinek | Statement: [West Pomeranian Voivodeship, containsCity, Barlinek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barlinek Context triple: [West Pomeranian Voivodeship, containsCity, Barlinek]
-
A.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
B.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
C.
Rakoń
Rakoń is a mountain peak in the Western Tatras on the Polish-Slovak border, popular with hikers for its scenic ridge views.
-
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.
Chojnice
Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
- 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: Barlinek Triple: [West Pomeranian Voivodeship, containsCity, Barlinek]
Generated description
Barlinek is a small Polish town known for its picturesque lakes and forests, often associated with eco-tourism and outdoor recreation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barlinek Target entity description: Barlinek is a small Polish town known for its picturesque lakes and forests, often associated with eco-tourism and outdoor recreation.
-
A.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
B.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
C.
Rakoń
Rakoń is a mountain peak in the Western Tatras on the Polish-Slovak border, popular with hikers for its scenic ridge views.
-
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.
Chojnice
Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067dec4a88190992d57a0cc7782ad |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640afafd48190b900fa5e0956d538 |
completed | March 27, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69c6415e87a881909878709fa588c367 |
completed | March 27, 2026, 8:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c641d7131481908dd007023327d5a4 |
completed | March 27, 2026, 8:37 a.m. |
Created at: March 22, 2026, 4:31 p.m.