Triple
T17295989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Targówek |
E419910
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Targówek Fabryczny |
E419910
|
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: Targówek Fabryczny | Statement: [Targówek, hasSubdivision, Targówek Fabryczny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Targówek Fabryczny Context triple: [Targówek, hasSubdivision, Targówek Fabryczny]
-
A.
Targówek
chosen
Targówek is a residential district in the northeastern part of Warsaw, Poland, known for its large housing estates, green areas, and growing transport links to the city center.
-
B.
Stalowa Wola
Stalowa Wola is an industrial city in southeastern Poland, historically known as a major center of heavy industry and steel production.
-
C.
Tychy
Tychy is a city in the Silesian region of southern Poland, known for its brewing industry and role as a planned industrial center.
-
D.
Jaworzno
Jaworzno is a city in southern Poland, located in the Silesian Voivodeship and known for its industrial heritage and role in the Upper Silesian urban area.
-
E.
Łódź Fabryczna
Łódź Fabryczna is a major modern railway terminus in Łódź, Poland, serving as one of the city’s primary long-distance and regional train hubs.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e437875b208190bcf0df2ded546257 |
completed | April 19, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180d881ec81908e794143d355effe |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:40 a.m.