Triple
T15940470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Appenzell Ausserrhoden |
E386544
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Herisau |
E1216025
|
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: Herisau | Statement: [canton of Appenzell Ausserrhoden, hasMunicipality, Herisau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herisau Context triple: [canton of Appenzell Ausserrhoden, hasMunicipality, Herisau]
-
A.
Herisau
chosen
Herisau is a Swiss town that serves as the administrative and economic center of the canton of Appenzell Ausserrhoden.
-
B.
Haslach
Haslach is a district or locality that forms part of the town of Oberkirch in the German state of Baden-Württemberg.
-
C.
Haslach
Haslach is a town in southern Germany historically noted as the site of the Battle of Haslach-Jungingen during the Napoleonic Wars.
-
D.
Machtolsheim
Machtolsheim is a village in the Alb-Donau district of Baden-Württemberg, Germany, that forms part of the town of Laichingen.
-
E.
Heretsried
Heretsried is a small municipality in the Swabian region of Bavaria, Germany, situated within the rural surroundings of the Augsburg district.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156cd3a188190a1a7dcbfdd38284c |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00758380d08190bfe73d3e052c1f0a |
completed | May 10, 2026, 12:09 p.m. |
Created at: April 10, 2026, 4:53 a.m.