Triple
T6353617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Pomeranian Voivodeship |
E142935
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Pyrzyce
Pyrzyce is a historic town in northwestern Poland known for its medieval fortifications and location within the West Pomeranian region.
|
E589968
|
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: Pyrzyce | Statement: [West Pomeranian Voivodeship, containsCity, Pyrzyce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pyrzyce Context triple: [West Pomeranian Voivodeship, containsCity, Pyrzyce]
-
A.
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.
-
B.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
C.
Orzysz
Orzysz is a small town in northeastern Poland known for its lakeside setting and proximity to extensive forests and military training grounds.
-
D.
Ryglice
Ryglice is a small town in southern Poland known for its rural character and location in the historical region of Lesser Poland.
-
E.
Wierzyca
Wierzyca is a river in northern Poland that flows through the Pomeranian region before joining the Wda and ultimately contributing to the Vistula river basin.
- 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: Pyrzyce Triple: [West Pomeranian Voivodeship, containsCity, Pyrzyce]
Generated description
Pyrzyce is a historic town in northwestern Poland known for its medieval fortifications and location within the West Pomeranian region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pyrzyce Target entity description: Pyrzyce is a historic town in northwestern Poland known for its medieval fortifications and location within the West Pomeranian region.
-
A.
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.
-
B.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
C.
Orzysz
Orzysz is a small town in northeastern Poland known for its lakeside setting and proximity to extensive forests and military training grounds.
-
D.
Ryglice
Ryglice is a small town in southern Poland known for its rural character and location in the historical region of Lesser Poland.
-
E.
Wierzyca
Wierzyca is a river in northern Poland that flows through the Pomeranian region before joining the Wda and ultimately contributing to the Vistula river basin.
- 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_69c6386784008190b0ac82804a4ee30e |
completed | March 27, 2026, 7:57 a.m. |
| NEDg | Description generation | batch_69c639eabaf88190bf81112cde6e8e99 |
completed | March 27, 2026, 8:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63a8738ac8190af0bface4b18eea6 |
completed | March 27, 2026, 8:06 a.m. |
Created at: March 22, 2026, 4:31 p.m.