Triple
T10378599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ansbach |
E244572
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Jastrzębie-Zdrój |
E264057
|
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: Jastrzębie-Zdrój | Statement: [Ansbach, hasTwinTown, Jastrzębie-Zdrój]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jastrzębie-Zdrój Context triple: [Ansbach, hasTwinTown, Jastrzębie-Zdrój]
-
A.
Jastrzębie-Zdrój
chosen
Jastrzębie-Zdrój is a town in southern Poland known for its coal mining industry and location within the historical region of Cieszyn Silesia.
-
B.
Dąbrowa Górnicza
Dąbrowa Górnicza is an industrial city in southern Poland’s Silesian Voivodeship, known for its heavy industry, mining heritage, and proximity to the unique Błędów Desert.
-
C.
Wodzisław Śląski
Wodzisław Śląski is a town in southern Poland known for its historic urban core and location in the industrial and mining region of Upper Silesia.
-
D.
Chorzów
Chorzów is an industrial city in southern Poland’s Silesian region, known for its heavy industry heritage and the extensive Silesian Park.
-
E.
Jelenia Góra
Jelenia Góra is a historic city in southwestern Poland, known for its picturesque setting in the Karkonosze Mountains and its well-preserved old town architecture.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e98fead88190ace49f34b8a27c25 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5e2b0408190866bbe9a3a56928b |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 6, 2026, 12:03 p.m.