Triple
T8018095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sümeg |
E186670
|
entity |
| Predicate | administrativeDivision |
P747
|
FINISHED |
| Object | Tapolca District |
E512438
|
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: Tapolca District | Statement: [Sümeg, administrativeDivision, Tapolca District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tapolca District Context triple: [Sümeg, administrativeDivision, Tapolca District]
-
A.
Tapolca District
chosen
Tapolca District is an administrative district in western Hungary, centered on the town of Tapolca and known for its scenic landscapes near Lake Balaton.
-
B.
Paucarpata District
Paucarpata District is an urban district in the Arequipa Province of southern Peru, situated on the slopes near the Misti volcano.
-
C.
Ilava District
Ilava District is an administrative district in the Trenčín Region of northwestern Slovakia, known for its mix of industrial towns and rural communities.
-
D.
Marzoll district
Marzoll district is a locality within the spa town of Bad Reichenhall in Bavaria, Germany, known for its scenic Alpine setting near the Austrian border.
-
E.
Lince District
Lince District is a centrally located urban district of Lima, Peru, known for its residential neighborhoods, commercial areas, and proximity to the city’s historic and financial centers.
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3df626e8819098a9f8908dfdad3b |
completed | March 31, 2026, 3:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56c213ec8190b3bd96c42d1357e4 |
completed | March 31, 2026, 11:20 p.m. |
Created at: March 30, 2026, 5:20 p.m.