Triple
T7434781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gyor-Moson-Sopron County |
E171584
|
entity |
| Predicate | hasBorderRiver |
P225
|
FINISHED |
| Object | Rábca |
E412771
|
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: Rábca | Statement: [Gyor-Moson-Sopron County, hasBorderRiver, Rábca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rábca Context triple: [Gyor-Moson-Sopron County, hasBorderRiver, Rábca]
-
A.
Rába
chosen
Rába is a river in Central Europe that flows primarily through western Hungary and parts of Austria, eventually joining the Danube.
-
B.
Kobeliaky
Kobeliaky is a historic town in central Ukraine, located in Poltava Oblast along the Vorskla River.
-
C.
Račak
Račak is a village in Kosovo best known internationally as the site of the 1999 Račak massacre, a pivotal event in the Kosovo conflict.
-
D.
Krompachy
Krompachy is a small industrial town in eastern Slovakia known historically for its ironworks and metalworking industry.
-
E.
Radbuza
Radbuza is a river in the Czech Republic that flows through western Bohemia and is one of the main rivers running through the city of Plzeň.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f328cf6081908bea065639fd3620 |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8278670bc819095bdbcc0837b6716 |
completed | March 28, 2026, 7:09 p.m. |
Created at: March 27, 2026, 3:13 p.m.