Triple
T10273882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Košice Region |
E240912
|
entity |
| Predicate | containsRiver |
P165
|
FINISHED |
| Object | Bodrog |
E234401
|
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: Bodrog | Statement: [Košice Region, containsRiver, Bodrog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bodrog Context triple: [Košice Region, containsRiver, Bodrog]
-
A.
Bodrog
chosen
Bodrog is a river in Central Europe that flows through Slovakia and Hungary before joining the Tisza River.
-
B.
Ségny
Ségny is a small commune in eastern France’s Ain department, situated near the Swiss border in the Auvergne-Rhône-Alpes region.
-
C.
Hármas-Körös
Hármas-Körös is a major branch of the Körös River in southeastern Hungary, formed by the confluence of its tributaries and known for its role in regional water management and recreation.
-
D.
Bodrogköz
Bodrogköz is a low-lying, marshy region in northeastern Hungary known for its riverine landscapes, wetlands, and traditional rural settlements.
-
E.
Kapós River
The Kapós River is a watercourse in southwestern Hungary that flows through the Transdanubian region before joining the Sió 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d288acf48190bbf14a5cb2dfe1f4 |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff74d59f88190bbd975521b16ae49 |
completed | April 15, 2026, 8:38 p.m. |
Created at: April 6, 2026, 11:36 a.m.