Triple
T3525950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drava |
E74537
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Dráva |
E74537
|
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: Dráva | Statement: [Drava, alternativeName, Dráva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dráva Context triple: [Drava, alternativeName, Dráva]
-
A.
Drava
chosen
The Drava is a major Central European river that flows through countries including Italy, Austria, Slovenia, Croatia, and Hungary before joining the Danube.
-
B.
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.
-
C.
Drina
The Drina is a significant river in the western Balkans, forming much of the border between Bosnia and Herzegovina and Serbia and known for its scenic canyons and historical importance.
-
D.
Traisen
Traisen is a river in northeastern Austria that flows through Lower Austria before joining the Danube.
-
E.
Velika Morava
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.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc6a8d0c819094d38b9c47fb67b4 |
completed | March 8, 2026, 6:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bca41a88190b5550b9c1e763092 |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:19 p.m.