Triple
T1217236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serbia |
E26132
|
entity |
| Predicate | majorRiver |
P165
|
FINISHED |
| Object | Morava |
E76777
|
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 | Statement: [Serbia, majorRiver, Morava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morava Context triple: [Serbia, majorRiver, Morava]
-
A.
Morava
Morava is a Central European river that forms part of the border between Austria, the Czech Republic, and Slovakia before joining the Danube near Bratislava.
-
B.
Velika Morava
chosen
Velika Morava is a major river in central Serbia formed by the confluence of the West and South Morava, flowing northward before joining the Danube.
-
C.
Fiumana
Fiumana is a small locality in the municipality of Predappio in the Emilia-Romagna region of northern Italy.
-
D.
Gera
Gera is a city in the German state of Thuringia, known for its industrial heritage and historic architecture along the White Elster river.
-
E.
Orava
Orava is a historical region in northern Slovakia and southern Poland, known for its mountainous landscapes, traditional villages, and the prominent Orava Castle.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be06d6308190a44c505e6b5e8d42 |
completed | March 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce5bdd248190a66551c814dcfac4 |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:46 p.m.