Triple
T7670803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Silesian metropolitan area |
E173741
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Czeladź |
E607774
|
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: Czeladź | Statement: [Upper Silesian metropolitan area, hasMajorCity, Czeladź]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Czeladź Context triple: [Upper Silesian metropolitan area, hasMajorCity, Czeladź]
-
A.
Czeladź
chosen
Czeladź is a historic industrial town in southern Poland, located in the Silesian metropolitan area near Katowice.
-
B.
Ciecień
Ciecień is a mountain peak in southern Poland that forms part of the Beskid Wyspowy range in the Western Carpathians.
-
C.
Redłowo
Redłowo is a coastal district of the Polish city of Gdynia, known for its residential character and proximity to the Baltic Sea.
-
D.
Szerzyny
Szerzyny is a village in southern Poland located within the administrative region of Lesser Poland Voivodeship.
-
E.
Szaflary
Szaflary is a village in southern Poland’s Podhale region, known for its geothermal hot springs and traditional highland culture.
- 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_69c8a229dd348190b9a781b4d34d7b5b |
completed | March 29, 2026, 3:53 a.m. |
Created at: March 27, 2026, 4 p.m.