Triple
T14089880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Úpa River |
E339098
|
entity |
| Predicate | confluenceNear |
P8203
|
FINISHED |
| Object | Jaroměř |
E251624
|
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: Jaroměř | Statement: [Úpa River, confluenceNear, Jaroměř]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaroměř Context triple: [Úpa River, confluenceNear, Jaroměř]
-
A.
Jaroměř
chosen
Jaroměř is a historic town in the northeastern Czech Republic known for its preserved architecture and proximity to the confluence of the Elbe and Metuje rivers.
-
B.
Zbyhněv
Zbyhněv is a given name, likely a variant or regional form of the Slavic name Zbigniew.
-
C.
Jauru
Jauru is an alternative name for the Yawuru, an Aboriginal Australian people traditionally associated with the Broome region of Western Australia.
-
D.
Třemošná
Třemošná is a small town in the western Czech Republic, located near the city of Plzeň in the Plzeň Region.
-
E.
Jáchymov
Jáchymov is a historic Czech mining town in the Ore Mountains, known for its silver and uranium mines and for giving its name to the "thaler," a precursor of the dollar.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee3213c8190af2853a2a5b302a2 |
completed | April 14, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0a7aab88190949cf1fd8e11b050 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:21 p.m.