Triple
T15538816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vogtlandkreis |
E370419
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Hof (district) |
E246193
|
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: Hof (district) | Statement: [Vogtlandkreis, borderedBy, Hof (district)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hof (district) Context triple: [Vogtlandkreis, borderedBy, Hof (district)]
-
A.
Hof district
chosen
Hof district is a rural administrative district in the Bavarian region of Upper Franconia in Germany, known for its small towns, agricultural areas, and proximity to the Czech border.
-
B.
Höfe District
Höfe District is an administrative district in the canton of Schwyz in central Switzerland, situated along the upper Lake Zurich and known for its affluent lakeside communities.
-
C.
Hof (Saale)
Hof (Saale) is a town in northeastern Bavaria, Germany, known as a regional center near the borders with Saxony and the Czech Republic.
-
D.
Hof
Hof is a town in northeastern Bavaria, Germany, known for its location near the Czech border and its regional cultural and economic significance.
-
E.
Hof
Hof is a small settlement within the municipality of Lutzenberg in the Swiss canton of Appenzell Ausserrhoden.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04430b5188190a555a3cd4fb0c61c |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d626e688190bd93481cfd6cb255 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 4:07 a.m.