Triple
T18700980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zlota 44 |
E457247
|
entity |
| Predicate | neighborhood |
P988
|
FINISHED |
| Object | Śródmieście |
—
|
NE NERFINISHED |
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: Śródmieście | Statement: [Zlota 44, neighborhood, Śródmieście]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Śródmieście Context triple: [Zlota 44, neighborhood, Śródmieście]
-
A.
Śródmieście
Śródmieście is the central downtown district of the Polish port city of Gdynia, known for its urban core, services, and seaside location.
-
B.
Śródmieście
Śródmieście is the central urban district of the city of Gliwice in southern Poland, encompassing its historic core and main commercial areas.
-
C.
Śródmieście
Śródmieście is the central urban district of Bydgoszcz, known for its historic architecture, cultural institutions, and role as the city’s main commercial and administrative hub.
-
D.
Śródmieście district
Śródmieście district is the central urban district of Sosnowiec, Poland, encompassing the city’s downtown area and main commercial and administrative functions.
-
E.
Śródmieście district
chosen
The Śródmieście district is the central borough of Warsaw, Poland, encompassing the city’s historic core, major government institutions, and key cultural and commercial areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562eb06b481908ef9efdb976008f3 |
completed | April 19, 2026, 11:19 p.m. |
Created at: April 10, 2026, 11:49 a.m.