Triple
T18025562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Śródmieście, Wrocław |
E431238
|
entity |
| Predicate | containsNeighborhood |
P4813
|
FINISHED |
| Object |
Zacisze
Zacisze is a residential neighborhood in the Śródmieście district of Wrocław, Poland, known for its green areas and proximity to the Odra River.
|
E1543683
|
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: Zacisze | Statement: [Śródmieście, Wrocław, containsNeighborhood, Zacisze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zacisze Context triple: [Śródmieście, Wrocław, containsNeighborhood, Zacisze]
-
A.
Zacisze
Zacisze is a residential neighborhood within the Targówek district of Warsaw, Poland.
-
B.
Zawadzkie
Zawadzkie is a small town in southwestern Poland known for its industrial heritage and location within the Opole region.
-
C.
Wawrzeńczyce
Wawrzeńczyce is a village in southern Poland that serves as the administrative center of the rural Gmina Igołomia-Wawrzeńczyce in Lesser Poland Voivodeship.
-
D.
Zbyszko
Zbyszko is a Polish given name, traditionally used as a diminutive or variant of Zbigniew and known from medieval and literary contexts.
-
E.
Zalesie
Zalesie is a historic, villa-filled residential neighborhood in the Śródmieście district of Wrocław, known for its green spaces and proximity to the Oder River.
- 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: Zacisze Triple: [Śródmieście, Wrocław, containsNeighborhood, Zacisze]
Generated description
Zacisze is a residential neighborhood in the Śródmieście district of Wrocław, Poland, known for its green areas and proximity to the Odra River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zacisze Target entity description: Zacisze is a residential neighborhood in the Śródmieście district of Wrocław, Poland, known for its green areas and proximity to the Odra River.
-
A.
Zacisze
Zacisze is a residential neighborhood within the Targówek district of Warsaw, Poland.
-
B.
Zawadzkie
Zawadzkie is a small town in southwestern Poland known for its industrial heritage and location within the Opole region.
-
C.
Wawrzeńczyce
Wawrzeńczyce is a village in southern Poland that serves as the administrative center of the rural Gmina Igołomia-Wawrzeńczyce in Lesser Poland Voivodeship.
-
D.
Zbyszko
Zbyszko is a Polish given name, traditionally used as a diminutive or variant of Zbigniew and known from medieval and literary contexts.
-
E.
Zalesie
Zalesie is a historic, villa-filled residential neighborhood in the Śródmieście district of Wrocław, known for its green spaces and proximity to the Oder River.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9c554348190bd0df06d0cfe188e |
completed | April 19, 2026, 11:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b2d499de08190b0de4b4211936aec |
completed | May 18, 2026, 3:16 p.m. |
| NEDg | Description generation | batch_6a0b3645f5a881908b322d16c7704e27 |
completed | May 18, 2026, 3:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b3769c36081909ff732275513bb2b |
completed | May 18, 2026, 3:59 p.m. |
Created at: April 10, 2026, 10:24 a.m.