Triple
T16256144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Most Basin |
E394632
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Litvínov |
E752885
|
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: Litvínov | Statement: [Most Basin, containsCity, Litvínov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Litvínov Context triple: [Most Basin, containsCity, Litvínov]
-
A.
Litvínov
chosen
Litvínov is an industrial town in the north of the Czech Republic known for its chemical industry and ice hockey tradition.
-
B.
Litavka
Litavka is a river in the Czech Republic that flows through the town of Beroun before joining the Berounka River.
-
C.
Lišov
Lišov is a small town in the South Bohemian Region of the Czech Republic, known for its traditional architecture and rural Central European character.
-
D.
Stropkov
Stropkov is a small town in northeastern Slovakia known for its location in the Ondava River valley and its historical and cultural heritage.
-
E.
Kriváň
Kriváň is a prominent and symbolically important peak in Slovakia’s High Tatras, often regarded as a national symbol and popular hiking destination.
- 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_6a000ee9bc4c8190bb7e54ed2ad162b3 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.