Triple
T844586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slovakia |
E18249
|
entity |
| Predicate | nationalRiver |
P165
|
FINISHED |
| Object |
Váh
Váh is the longest river in Slovakia, flowing through much of the country before joining the Danube.
|
E104365
|
NE FINISHED |
How this triple was built (4 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: Váh | Statement: [Slovakia, nationalRiver, Váh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Váh Context triple: [Slovakia, nationalRiver, Váh]
-
A.
Orava
Orava is a historical region in northern Slovakia and southern Poland, known for its mountainous landscapes, traditional villages, and the prominent Orava Castle.
-
B.
Morava
Morava is a Central European river that forms part of the border between Austria, the Czech Republic, and Slovakia before joining the Danube near Bratislava.
-
C.
Havel River
The Havel River is a major waterway in northeastern Germany that flows through Berlin and Brandenburg, connecting numerous lakes and serving as an important route for transport and recreation.
-
D.
Pirna
Pirna is a historic town in eastern Germany situated on the River Elbe, known as a gateway to the Saxon Switzerland National Park.
-
E.
Bór
Bór is the wartime nickname of Tadeusz Bór-Komorowski, the Polish general who commanded the Home Army and led the Warsaw Uprising during World War II.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Váh Triple: [Slovakia, nationalRiver, Váh]
Generated description
Váh is the longest river in Slovakia, flowing through much of the country before joining the Danube.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Váh Target entity description: Váh is the longest river in Slovakia, flowing through much of the country before joining the Danube.
-
A.
Orava
Orava is a historical region in northern Slovakia and southern Poland, known for its mountainous landscapes, traditional villages, and the prominent Orava Castle.
-
B.
Morava
Morava is a Central European river that forms part of the border between Austria, the Czech Republic, and Slovakia before joining the Danube near Bratislava.
-
C.
Havel River
The Havel River is a major waterway in northeastern Germany that flows through Berlin and Brandenburg, connecting numerous lakes and serving as an important route for transport and recreation.
-
D.
Pirna
Pirna is a historic town in eastern Germany situated on the River Elbe, known as a gateway to the Saxon Switzerland National Park.
-
E.
Bór
Bór is the wartime nickname of Tadeusz Bór-Komorowski, the Polish general who commanded the Home Army and led the Warsaw Uprising during World War II.
- F. None of above. chosen
Provenance (5 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_69a4938b04208190b82e1df6b572c548 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac09249c8190a8099b94a3c9e2cc |
completed | March 1, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b8472f188190b470893c76b20ccf |
completed | March 4, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_69a7bc1acf708190aa86cd5eca101966 |
completed | March 4, 2026, 4:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7bc96dd2881909310147292b99023 |
completed | March 4, 2026, 5:01 a.m. |
Created at: March 1, 2026, 7:38 p.m.