Triple
T8183765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olomouc |
E191130
|
entity |
| Predicate | hasRiver |
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: [Olomouc, hasRiver, Morava River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morava River Context triple: [Olomouc, hasRiver, 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 the monastic and religious name of Saint Sava, the medieval Serbian prince-turned-monk who became the first Archbishop of the autocephalous Serbian Orthodox Church and a key figure in Serbian religious and cultural history.
-
E.
Sava
Sava is a European tire brand known for producing affordable, reliable tires, particularly popular in Central and Eastern Europe.
- 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_69ca82c4538081909404325aa5639483 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c4f4ef88190ad346edad14b67ee |
completed | March 31, 2026, 4:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce022b87bc8190b390adf9170eb886 |
completed | April 2, 2026, 5:44 a.m. |
Created at: March 30, 2026, 5:41 p.m.