Triple
T18843711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Góra County |
E460860
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Wąsosz
Wąsosz is a town in southwestern Poland known for its historical architecture and location within the Lower Silesian Voivodeship.
|
E1346504
|
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: Wąsosz | Statement: [Góra County, containsSettlement, Wąsosz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wąsosz Context triple: [Góra County, containsSettlement, Wąsosz]
-
A.
Pietraszewicz
Pietraszewicz is a Polish surname associated with individuals such as Bronisław "Lot" Pietraszewicz.
-
B.
Witos
Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
-
C.
Zbyszko
Zbyszko is a Polish given name, traditionally used as a diminutive or variant of Zbigniew and known from medieval and literary contexts.
-
D.
Wołowiec
Wołowiec is a prominent peak in the Western Tatras on the Polish-Slovak border, popular with hikers for its panoramic views and accessible routes.
-
E.
Wdowiński
Wdowiński is a Polish surname most notably borne by Dawid Wdowiński, a Jewish-Polish neurologist and Zionist activist involved in the Warsaw Ghetto resistance.
- 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: Wąsosz Triple: [Góra County, containsSettlement, Wąsosz]
Generated description
Wąsosz is a town in southwestern Poland known for its historical architecture and location within the Lower Silesian Voivodeship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wąsosz Target entity description: Wąsosz is a town in southwestern Poland known for its historical architecture and location within the Lower Silesian Voivodeship.
-
A.
Pietraszewicz
Pietraszewicz is a Polish surname associated with individuals such as Bronisław "Lot" Pietraszewicz.
-
B.
Witos
Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
-
C.
Zbyszko
Zbyszko is a Polish given name, traditionally used as a diminutive or variant of Zbigniew and known from medieval and literary contexts.
-
D.
Wołowiec
Wołowiec is a prominent peak in the Western Tatras on the Polish-Slovak border, popular with hikers for its panoramic views and accessible routes.
-
E.
Wdowiński
Wdowiński is a Polish surname most notably borne by Dawid Wdowiński, a Jewish-Polish neurologist and Zionist activist involved in the Warsaw Ghetto resistance.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5b8ec8c5c8190b15e6394d0018573 |
completed | April 20, 2026, 5:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0575afc5b48190a95fbfbe0f2fb097 |
completed | May 14, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_6a05773b64c08190976d4e635e87be23 |
completed | May 14, 2026, 7:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0577901df48190aa16a0c31704de34 |
completed | May 14, 2026, 7:19 a.m. |
Created at: April 10, 2026, 11:56 a.m.