Triple
T10676295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kostelec nad Orlicí |
E251625
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Divoká Orlice |
E550650
|
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: Divoká Orlice | Statement: [Kostelec nad Orlicí, hasRiver, Divoká Orlice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Divoká Orlice Context triple: [Kostelec nad Orlicí, hasRiver, Divoká Orlice]
-
A.
Divoká Orlice
chosen
Divoká Orlice is a wild mountain river in the Czech Republic and Poland, known for its scenic valley, natural landscapes, and popularity among paddlers and hikers.
-
B.
Tichá Orlice
Tichá Orlice is a river in the Czech Republic that forms one of the two main headwaters of the Orlice River, flowing through the Pardubice Region.
-
C.
Loučka
Loučka is a river in the Czech Republic that serves as a left-bank tributary of the Svratka River.
-
D.
Wilding
Wilding is an English surname borne by various notable individuals in the arts, sports, and public life.
-
E.
The Woods
The Woods is a film scored by composer John Frizzell, known for its atmospheric and suspenseful musical style.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fb94b05c8190b66bf64f5c6d166b |
completed | April 9, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998bfc27c8190a9d3e77fbe544a6d |
completed | April 11, 2026, 12:41 a.m. |
Created at: April 8, 2026, 9:09 p.m.