Triple
T20816015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tapolca District |
E512438
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Sümeg District |
—
|
NE NERFINISHED |
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: Sümeg District | Statement: [Tapolca District, borders, Sümeg District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sümeg District Context triple: [Tapolca District, borders, Sümeg District]
-
A.
Sümeg District
chosen
Sümeg District is an administrative district in western Hungary, located within Veszprém County and centered around the town of Sümeg.
-
B.
Tapolca District
Tapolca District is an administrative district in western Hungary, centered on the town of Tapolca and known for its scenic landscapes near Lake Balaton.
-
C.
Hatvan District
Hatvan District is an administrative district in northern Hungary known for its central town of Hatvan and its role within Heves County’s local governance and economy.
-
D.
Aghsu District
Aghsu District is an administrative region in central Azerbaijan known for its agricultural economy and location along key transport routes between the country’s northern and southern areas.
-
E.
Ruhubelent District
Ruhubelent District is an administrative district in northern Turkmenistan, located within the Daşoguz Region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f3473c81908c43a2ec242b1acd |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:41 p.m.