Triple
T10092699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Szinva |
E215780
|
entity |
| Predicate | flowsInto |
P408
|
FINISHED |
| Object | Sajó River |
E360637
|
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: Sajó River | Statement: [Szinva, flowsInto, Sajó River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sajó River Context triple: [Szinva, flowsInto, Sajó River]
-
A.
Sajó River
chosen
The Sajó River is a waterway in Central Europe, chiefly in present-day Hungary and Slovakia, historically notable as the site of the Mongol victory over the Kingdom of Hungary at the 1241 Battle of Mohi.
-
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.
Szamos River
The Szamos River is a Central European river flowing through Romania and Hungary, known for joining the Tisa River and draining part of the Eastern Carpathians.
-
D.
Zagyva River
The Zagyva River is a watercourse in northern Hungary that flows from the Mátra Mountains through several towns before joining the Tisza River.
-
E.
Rába River
The Rába River is a Central European waterway flowing from Austria through western Hungary, historically significant as a strategic site in various military conflicts.
- 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_69ca83a4947c8190823a7495dc5d96ed |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd05c3c0c8190927580717429a4e5 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbd9073c948190aa2e9e6b7ffe9022 |
completed | April 12, 2026, 5:40 p.m. |
Created at: March 30, 2026, 9:01 p.m.