Triple
T4099305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Transdanubia |
E87898
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Zala River |
E218034
|
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: Zala River | Statement: [Western Transdanubia, hasRiver, Zala River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zala River Context triple: [Western Transdanubia, hasRiver, Zala River]
-
A.
Zala River
chosen
The Zala River is a major river in western Hungary that drains a large catchment area before emptying into Lake Balaton.
-
B.
Sajó River
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.
-
C.
Tisza
The Tisza is one of Central Europe's significant rivers, flowing through several countries including Hungary before joining the Danube.
-
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.
Körös
Körös is a river in Central Europe that flows through eastern Hungary and parts of Romania before joining the Tisza River.
- 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0d9c508190b8aedf83f3310513 |
completed | March 9, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f5a4f75481909236504eaf81ce33 |
completed | March 14, 2026, 11:56 p.m. |
Created at: March 9, 2026, 3:40 p.m.