Triple
T7670810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Silesian metropolitan area |
E173741
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Wodzisław Śląski |
E775541
|
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: Wodzisław Śląski | Statement: [Upper Silesian metropolitan area, hasMajorCity, Wodzisław Śląski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wodzisław Śląski Context triple: [Upper Silesian metropolitan area, hasMajorCity, Wodzisław Śląski]
-
A.
Wodzisław Śląski
chosen
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.
-
B.
Polkowice
Polkowice is a town in southwestern Poland known for its copper mining industry and location within the Lower Silesian region.
-
C.
Stalowa Wola
Stalowa Wola is an industrial city in southeastern Poland, historically known as a major center of heavy industry and steel production.
-
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.
Świętochłowice
Świętochłowice is an industrial city in southern Poland, located in the Upper Silesian metropolitan area.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701dd3c808190990e07ced94b3297 |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de83df5bf881908d775354ace05e66 |
completed | April 14, 2026, 6:13 p.m. |
Created at: March 27, 2026, 4 p.m.