Triple
T21016797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hauenstein-Ifenthal |
E517698
|
entity |
| Predicate | neighbouringMunicipality |
P33892
|
FINISHED |
| Object | Hägendorf |
—
|
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: Hägendorf | Statement: [Hauenstein-Ifenthal, neighbouringMunicipality, Hägendorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hägendorf Context triple: [Hauenstein-Ifenthal, neighbouringMunicipality, Hägendorf]
-
A.
Hägendorf
chosen
Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
-
B.
Hagsdorf
Hagsdorf is a small locality that forms part of the municipality of Persenbeug-Gottsdorf in Lower Austria.
-
C.
Gerhardshofen
Gerhardshofen is a small rural municipality in the district of Neustadt an der Aisch-Bad Windsheim in the German state of Bavaria.
-
D.
Hallerndorf
Hallerndorf is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and traditional Franconian culture.
-
E.
Rathmannsdorf
Rathmannsdorf is a small municipality in the German state of Saxony, known for its location in the scenic Saxon Switzerland 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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc5968c081909ae6407199858aba |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 1:54 p.m.