Triple
T16256146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Most Basin |
E394632
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Teplice |
E825200
|
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: Teplice | Statement: [Most Basin, containsCity, Teplice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teplice Context triple: [Most Basin, containsCity, Teplice]
-
A.
Teplice
chosen
Teplice is a historic spa city in the north of the Czech Republic, renowned for its thermal springs and long tradition of balneotherapy.
-
B.
Teplice nad Metují
Teplice nad Metují is a small town in northeastern Czech Republic known as a gateway to the Adršpach-Teplice rock formations and scenic sandstone landscapes.
-
C.
Žatec
Žatec is a historic Czech town in the Ústí nad Labem Region renowned for its long-standing hop-growing tradition and beer production.
-
D.
Opava
Opava is a historic city in the Czech Republic’s Silesian region, known as a former political and cultural center of Silesia.
-
E.
Dolní Teplice
Dolní Teplice is a village and administrative part of the town of Teplice nad Metují in the Hradec Králové Region of the Czech Republic.
- 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_6a00b276be5c8190a42ce541168ab7d0 |
completed | May 10, 2026, 4:29 p.m. |
Created at: April 10, 2026, 5:04 a.m.