Triple
T10313421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Slovakia |
E241953
|
entity |
| Predicate | containsRiver |
P165
|
FINISHED |
| Object | Morava River |
E398549
|
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: Morava River | Statement: [Western Slovakia, containsRiver, Morava River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morava River Context triple: [Western Slovakia, containsRiver, Morava River]
-
A.
Morava River
chosen
The Morava River is a major Central European river flowing through the Czech Republic, Slovakia, and Austria, forming part of the natural border between the latter two countries before joining the Danube.
-
B.
Bes River
The Bes River is a regional river in central India that flows near the city of Vidisha in Madhya Pradesh.
-
C.
Istra River
The Istra River is a waterway in the Moscow region of Russia that flows through the town of Istra before joining the Moskva River.
-
D.
Sava
Sava is a major river in Central and Southeastern Europe that flows through countries including Slovenia, Croatia, Bosnia and Herzegovina, and Serbia before joining the Danube.
-
E.
Sava
Sava is a town and comune in the Province of Taranto in the Apulia region of southern Italy, known for its wine and olive oil production.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d35a292c8190bc8c467e522bba92 |
completed | April 7, 2026, 9:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7502f7b308190aaefd62f2f8a0ac3 |
completed | April 9, 2026, 7:07 a.m. |
Created at: April 6, 2026, 11:48 a.m.