Triple
T13515018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Váh River |
E322736
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Middle Váh |
E469906
|
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: Middle Váh | Statement: [Váh River, hasPart, Middle Váh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Middle Váh Context triple: [Váh River, hasPart, Middle Váh]
-
A.
Bystritsa River
The Bystritsa River is a significant watercourse in Russia that serves as one of the main tributaries feeding the Vyatka River system.
-
B.
Váh River
The Váh River is the longest river in Slovakia, flowing from the Tatra Mountains through much of the country before joining the Danube.
-
C.
White Váh
chosen
White Váh is one of the two main headwater streams that join to form the Váh River in northern Slovakia.
-
D.
Svitava River
The Svitava River is a significant river in the eastern Czech Republic that flows through cities such as Brno before joining the Svratka River.
-
E.
Muráň River
The Muráň River is a watercourse in central Slovakia that flows through the town of Jelšava and the surrounding Muráň Plateau region.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa0ed508190b2855171b1945e84 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d6fde508190865a8e3e391fdf5e |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 9, 2026, 9:44 p.m.