Triple
T4047754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazimierz |
E84107
|
entity |
| Predicate | hasSquare |
P7888
|
FINISHED |
| Object |
Plac Nowy
Plac Nowy is a historic central square and social hub in Kraków’s Kazimierz district, known for its market stalls, food vendors, and vibrant nightlife.
|
E408288
|
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: Plac Nowy | Statement: [Kazimierz, hasSquare, Plac Nowy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plac Nowy Context triple: [Kazimierz, hasSquare, Plac Nowy]
-
A.
Ujazdów
Ujazdów is a historic neighborhood in central Warsaw, known for its palaces, government buildings, and extensive green areas including parks and gardens.
-
B.
Mrągowo
Mrągowo is a picturesque town in northeastern Poland known for its lakeside setting and popular summer cultural and music festivals.
-
C.
Ostrołęka
Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative center.
-
D.
Pałuki
Pałuki is a historical and ethnographic region in north-central Poland, known for its distinctive folk culture, wooden architecture, and numerous lakes.
-
E.
Działdowo
Działdowo is a town in northern Poland known for its historical significance and location within the Warmian-Masurian Voivodeship.
- 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: Plac Nowy Triple: [Kazimierz, hasSquare, Plac Nowy]
Generated description
Plac Nowy is a historic central square and social hub in Kraków’s Kazimierz district, known for its market stalls, food vendors, and vibrant nightlife.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Plac Nowy Target entity description: Plac Nowy is a historic central square and social hub in Kraków’s Kazimierz district, known for its market stalls, food vendors, and vibrant nightlife.
-
A.
Ujazdów
Ujazdów is a historic neighborhood in central Warsaw, known for its palaces, government buildings, and extensive green areas including parks and gardens.
-
B.
Mrągowo
Mrągowo is a picturesque town in northeastern Poland known for its lakeside setting and popular summer cultural and music festivals.
-
C.
Ostrołęka
Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative center.
-
D.
Pałuki
Pałuki is a historical and ethnographic region in north-central Poland, known for its distinctive folk culture, wooden architecture, and numerous lakes.
-
E.
Działdowo
Działdowo is a town in northern Poland known for its historical significance and location within the Warmian-Masurian Voivodeship.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb62593c8190ab8462c4d9cd9d08 |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5565466648190802a9b8fd88c3572 |
completed | March 14, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69b556cdd05081909fea1fb0a58bc7d1 |
completed | March 14, 2026, 12:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b557d445d081908f48fe3bd06f786e |
completed | March 14, 2026, 12:43 p.m. |
Created at: March 9, 2026, 3:37 p.m.