Triple
T11141620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PKiN |
E263567
|
entity |
| Predicate | locatedInDistrict |
P40
|
FINISHED |
| Object | Śródmieście |
E237933
|
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: Śródmieście | Statement: [PKiN, locatedInDistrict, Śródmieście]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Śródmieście Context triple: [PKiN, locatedInDistrict, 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 district
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.
-
C.
Śródmieście, Warsaw
chosen
Śródmieście, Warsaw is the central district of Poland’s capital city, encompassing its historic core, major government institutions, and key cultural and commercial areas.
-
D.
Mokotów
Mokotów is a large, centrally located district of Warsaw known for its residential neighborhoods, parks, and business centers.
-
E.
Okęcie
Okęcie is a district in Warsaw, Poland, best known for hosting the city’s main international airport and various aviation-related facilities.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8623158819096ad1678fa9e72bb |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e509cd971c8190bdaa7b3c8a1f32f2 |
completed | April 19, 2026, 4:58 p.m. |
Created at: April 8, 2026, 9:28 p.m.