Triple
T19489797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upa River |
E487616
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Упа |
—
|
NE NERFINISHED |
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: Упа | Statement: [Upa River, hasNameInLanguage, Упа]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Упа Context triple: [Upa River, hasNameInLanguage, Упа]
-
A.
Úpa
chosen
Úpa is a river in the Czech Republic that flows through the Krkonoše (Giant Mountains) region before joining the Labe (Elbe) River.
-
B.
Ushba
Ushba is a striking double-summited peak in the Caucasus Mountains of Georgia, renowned among climbers for its technical difficulty and dramatic, spire-like profile.
-
C.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
D.
Upo
Upo is a rural barangay in the municipality of Maitum in the province of Sarangani, Philippines.
-
E.
Оять
Оять — река на северо-западе России, протекающая по территории Ленинградской и Вологодской областей и известная как значимый водный путь региона.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6348ad4088190b530f47efca90165 |
completed | April 20, 2026, 2:13 p.m. |
Created at: April 10, 2026, 1:39 p.m.