Triple
T2793945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mureș River |
E52991
|
entity |
| Predicate | mouth |
P407
|
FINISHED |
| Object | Tisza River |
E109194
|
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: Tisza River | Statement: [Mureș River, mouth, Tisza River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tisza River Context triple: [Mureș River, mouth, Tisza River]
-
A.
Tisza
The Tisza is one of Central Europe's significant rivers, flowing through several countries including Hungary before joining the Danube.
-
B.
Zala River
The Zala River is a major river in western Hungary that drains a large catchment area before emptying into Lake Balaton.
-
C.
Körös
Körös is a river in Central Europe that flows through eastern Hungary and parts of Romania before joining the Tisza River.
-
D.
Tisa River
chosen
The Tisa River is a major Central and Eastern European waterway that flows through countries including Ukraine, Romania, Hungary, Slovakia, and Serbia before joining the Danube.
-
E.
Danube
The Danube is one of Europe's longest and most historically significant rivers, flowing from Germany to the Black Sea and passing through numerous Central and Eastern European countries.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddd33610819085ac7c5bec0e6af0 |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc6618fb88190a653ae0d15e1a0d4 |
completed | March 10, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:58 p.m.