Triple
T16256145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Most Basin |
E394632
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Chomutov |
E825670
|
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: Chomutov | Statement: [Most Basin, containsCity, Chomutov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chomutov Context triple: [Most Basin, containsCity, Chomutov]
-
A.
Chomutov
chosen
Chomutov is a city in the northwest of the Czech Republic known for its industrial heritage and location near the Ore Mountains.
-
B.
Chrudim
Chrudim is a historic town in the Pardubice Region of the Czech Republic, known for its well-preserved medieval center and cultural heritage.
-
C.
Nymburk
Nymburk is a historic town in the Czech Republic known for its medieval fortifications and location on the Elbe River.
-
D.
Gottwaldov
Gottwaldov is the former name (1949–1990) of the Czech industrial city now known as Zlín, historically associated with the Baťa shoe company.
-
E.
Harrachov
Harrachov is a Czech mountain town in the Krkonoše range known as a major ski and winter sports resort near the Polish border.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2459a48f081909c76b38741b8f04e |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aae0f87c819085ebc7d475ebe8ba |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:04 a.m.