Triple
T9805065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Śródmieście, Warsaw |
E237933
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Mokotów, Warsaw |
E262769
|
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: Mokotów, Warsaw | Statement: [Śródmieście, Warsaw, borders, Mokotów, Warsaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mokotów, Warsaw Context triple: [Śródmieście, Warsaw, borders, Mokotów, Warsaw]
-
A.
Wola, Warsaw
Wola, Warsaw is a western district of Poland’s capital city known for its mix of industrial heritage, residential areas, and sites commemorating World War II and the Warsaw Uprising.
-
B.
Ochota, Warsaw
Ochota is a central district of Warsaw known for its residential character, pre-war architecture, and proximity to the city’s downtown area.
-
C.
New Town, Warsaw
New Town is a historic district in central Warsaw, Poland, known for its reconstructed Old-World architecture, charming squares, and role as an extension of the adjacent Old Town.
-
D.
Mokotów
chosen
Mokotów is a large, centrally located district of Warsaw known for its residential neighborhoods, parks, and business centers.
-
E.
Ujazdów
Ujazdów is a historic neighborhood in central Warsaw, known for its palaces, government buildings, and extensive green areas including parks and gardens.
- 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_69d23ceca020819080f310f84669551a |
completed | April 5, 2026, 10:43 a.m. |
Created at: March 30, 2026, 8:29 p.m.