Triple
T18025559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Śródmieście, Wrocław |
E431238
|
entity |
| Predicate | containsNeighborhood |
P4813
|
FINISHED |
| Object |
Biskupin
Biskupin is a residential neighborhood in the Polish city of Wrocław, known for its green areas and proximity to the Odra River.
|
E1301891
|
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: Biskupin | Statement: [Śródmieście, Wrocław, containsNeighborhood, Biskupin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biskupin Context triple: [Śródmieście, Wrocław, containsNeighborhood, Biskupin]
-
A.
Biskupiec
Biskupiec is a town in northern Poland known for its location in the picturesque lake district of the Warmian-Masurian Voivodeship.
-
B.
Bazyli
Bazyli is a masculine given name of Slavic origin, commonly used in Poland and related to the name Basil.
-
C.
Podunajské Biskupice
Podunajské Biskupice is a borough of Bratislava, Slovakia, known as one of the city's eastern districts with a mix of residential areas and industrial zones.
-
D.
Grósz
Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
-
E.
Krommenie
Krommenie is a town in the Dutch province of North Holland, known as a former industrial village that is now part of the municipality of Zaanstad.
- 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: Biskupin Triple: [Śródmieście, Wrocław, containsNeighborhood, Biskupin]
Generated description
Biskupin is a residential neighborhood in the Polish city of Wrocław, known for its green areas and proximity to the Odra River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Biskupin Target entity description: Biskupin is a residential neighborhood in the Polish city of Wrocław, known for its green areas and proximity to the Odra River.
-
A.
Biskupiec
Biskupiec is a town in northern Poland known for its location in the picturesque lake district of the Warmian-Masurian Voivodeship.
-
B.
Bazyli
Bazyli is a masculine given name of Slavic origin, commonly used in Poland and related to the name Basil.
-
C.
Podunajské Biskupice
Podunajské Biskupice is a borough of Bratislava, Slovakia, known as one of the city's eastern districts with a mix of residential areas and industrial zones.
-
D.
Grósz
Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
-
E.
Krommenie
Krommenie is a town in the Dutch province of North Holland, known as a former industrial village that is now part of the municipality of Zaanstad.
- 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_6a03432ac16481908a05312c1db336df |
completed | May 12, 2026, 3:11 p.m. |
| NEDg | Description generation | batch_6a03464c57248190877438237d9b758c |
completed | May 12, 2026, 3:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0346dae6d881909ad7ff7a7b4a288e |
completed | May 12, 2026, 3:27 p.m. |
Created at: April 10, 2026, 10:24 a.m.