Triple
T21457780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wahlkreis Rheintal |
E529385
|
entity |
| Predicate | administrativeSeat |
P21613
|
FINISHED |
| Object | Altstätten |
—
|
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: Altstätten | Statement: [Wahlkreis Rheintal, administrativeSeat, Altstätten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altstätten Context triple: [Wahlkreis Rheintal, administrativeSeat, Altstätten]
-
A.
Altstätten
chosen
Altstätten is a historic town and regional center in the Swiss canton of St. Gallen, known for its well-preserved old town and location in the Rhine Valley near the Austrian border.
-
B.
Alstätte
Alstätte is a village and district of the town of Ahaus in the Münsterland region of North Rhine-Westphalia, Germany.
-
C.
Waldstatt
Waldstatt is a small Swiss municipality located in the canton of Appenzell Ausserrhoden.
-
D.
Hermannstein
Hermannstein is a district of the German city of Wetzlar in the state of Hesse.
-
E.
Bärenthal
Bärenthal is a small municipality in the Zollernalbkreis district of Baden-Württemberg in southwestern Germany.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9ec254081909a703056022f4f45 |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:08 p.m.