Triple
T9805043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Śródmieście, Warsaw |
E237933
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Ujazdów area |
E210994
|
NE FINISHED |
How this triple was built (2 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: Ujazdów area | Statement: [Śródmieście, Warsaw, contains, Ujazdów area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ujazdów area Context triple: [Śródmieście, Warsaw, contains, Ujazdów area]
-
A.
Ujazdów
chosen
Ujazdów is a historic neighborhood in central Warsaw, known for its palaces, government buildings, and extensive green areas including parks and gardens.
-
B.
Wilanów district
Wilanów district is a borough of Warsaw, Poland, known for its historic and affluent character and as the area surrounding the baroque royal Wilanów Palace.
-
C.
Wola district
Wola district is a central borough of Warsaw, Poland, known for its historical significance, rapid postwar development, and mix of industrial heritage with modern urban infrastructure.
-
D.
Mokotów
Mokotów is a large, centrally located district of Warsaw known for its residential neighborhoods, parks, and business centers.
-
E.
Podgórze district
Podgórze district is a historic area of Kraków, Poland, known for its former Jewish ghetto during World War II and sites such as Oskar Schindler’s factory.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdab7b67748190ba16ce868f29d13e |
completed | April 1, 2026, 11:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c45878e481908aa2098eceb44256 |
completed | April 5, 2026, 2:09 a.m. |
Created at: March 30, 2026, 8:29 p.m.