Triple
T15677177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Łazarz |
E377472
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Rynek Łazarski
Rynek Łazarski is a historic neighborhood market square in the Łazarz district of Poznań, Poland, known for its bustling stalls and local commerce.
|
E1170625
|
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: Rynek Łazarski | Statement: [Łazarz, hasLandmark, Rynek Łazarski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rynek Łazarski Context triple: [Łazarz, hasLandmark, Rynek Łazarski]
-
A.
Rynek Główny
Rynek Główny is the historic main market square of Kraków, Poland, renowned as one of the largest and most beautiful medieval town squares in Europe.
-
B.
Plac Krasińskich
Plac Krasińskich is a historic square in Warsaw, Poland, known for its notable architecture and monuments commemorating Polish history, including the Warsaw Uprising.
-
C.
Kępa Mieszczańska
Kępa Mieszczańska is a river island located on the Oder in Wrocław, Poland, known for its green spaces and proximity to the city center.
-
D.
Trynek
Trynek is a residential district of the city of Gliwice in southern Poland.
-
E.
Old Town, Warsaw
Old Town, Warsaw is the historic center of Poland’s capital, renowned for its meticulously reconstructed medieval architecture, colorful townhouses, and central market square.
- 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: Rynek Łazarski Triple: [Łazarz, hasLandmark, Rynek Łazarski]
Generated description
Rynek Łazarski is a historic neighborhood market square in the Łazarz district of Poznań, Poland, known for its bustling stalls and local commerce.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rynek Łazarski Target entity description: Rynek Łazarski is a historic neighborhood market square in the Łazarz district of Poznań, Poland, known for its bustling stalls and local commerce.
-
A.
Rynek Główny
Rynek Główny is the historic main market square of Kraków, Poland, renowned as one of the largest and most beautiful medieval town squares in Europe.
-
B.
Plac Krasińskich
Plac Krasińskich is a historic square in Warsaw, Poland, known for its notable architecture and monuments commemorating Polish history, including the Warsaw Uprising.
-
C.
Kępa Mieszczańska
Kępa Mieszczańska is a river island located on the Oder in Wrocław, Poland, known for its green spaces and proximity to the city center.
-
D.
Trynek
Trynek is a residential district of the city of Gliwice in southern Poland.
-
E.
Old Town, Warsaw
Old Town, Warsaw is the historic center of Poland’s capital, renowned for its meticulously reconstructed medieval architecture, colorful townhouses, and central market square.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2e10a4819097eba1ea31e36ac2 |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ee0446881909e9c2504d51d49a3 |
completed | May 9, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69ff6fb61144819085460226d406161d |
completed | May 9, 2026, 5:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff705b1ea08190bf08b99c19715e57 |
completed | May 9, 2026, 5:35 p.m. |
Created at: April 10, 2026, 4:16 a.m.