Triple
T6653446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opole Voivodeship (1975–1998) |
E150879
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Kędzierzyn-Koźle |
E692052
|
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: Kędzierzyn-Koźle | Statement: [Opole Voivodeship (1975–1998), containsCity, Kędzierzyn-Koźle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kędzierzyn-Koźle Context triple: [Opole Voivodeship (1975–1998), containsCity, Kędzierzyn-Koźle]
-
A.
Kędzierzyn-Koźle
chosen
Kędzierzyn-Koźle is a town in southern Poland known as an important industrial and river port center on the Oder River.
-
B.
Kociewie
Kociewie is an ethnocultural region in northern Poland known for its distinct folk traditions, dialect, and rural landscapes.
-
C.
Chorzów
Chorzów is an industrial city in southern Poland’s Silesian region, known for its heavy industry heritage and the extensive Silesian Park.
-
D.
Glogów
Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
-
E.
Skierniewice
Skierniewice is a historic city in central Poland known for its horticultural research center and annual Skierniewice Fruit and Vegetable Festival.
- 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b047eb688190bca86be98ac25e39 |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05422b25c819098189ac202c20123 |
completed | April 3, 2026, 11:58 p.m. |
Created at: March 27, 2026, 2:01 p.m.