Triple
T15940473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Appenzell Ausserrhoden |
E386544
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Trogen |
E908879
|
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: Trogen | Statement: [canton of Appenzell Ausserrhoden, hasMunicipality, Trogen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trogen Context triple: [canton of Appenzell Ausserrhoden, hasMunicipality, Trogen]
-
A.
Trogen
chosen
Trogen is a municipality in the canton of Appenzell Ausserrhoden in northeastern Switzerland, known for its picturesque setting and traditional Swiss architecture.
-
B.
Tros
Tros is a figure in Greek mythology known as the eponymous founder and king of Troy, from whom the Trojans derive their name.
-
C.
Troyan
Troyan is a town in central Bulgaria, known for its proximity to the Balkan Mountains, traditional crafts, and the nearby Troyan Monastery.
-
D.
Atarneus
Atarneus was an ancient Greek city in the region of Mysia in western Asia Minor, known from classical sources and associated with figures such as Aristotle.
-
E.
Diomed
Diomed was an 18th-century British Thoroughbred racehorse best known for winning the inaugural Epsom Derby and later becoming an influential sire in American bloodlines.
- 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_69ffb5ba070c8190b6af6cb21bddd7f1 |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.