Triple
T7915913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Nidwalden |
E183826
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Stans |
E696918
|
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: Stans | Statement: [canton of Nidwalden, hasMunicipality, Stans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stans Context triple: [canton of Nidwalden, hasMunicipality, Stans]
-
A.
Stans
Stans is a surname most notably associated with Maurice Stans, a U.S. Secretary of Commerce and key figure in the Nixon administration and Watergate scandal.
-
B.
Stans
chosen
Stans is a historic Swiss town in central Switzerland, known as the capital of the canton of Nidwalden and for its picturesque Alpine setting.
-
C.
Sten
Sten is a Scandinavian male given name of Old Norse origin, commonly associated with Sweden and meaning "stone."
-
D.
Stod
Stod is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
-
E.
Stanis
Stanis is the surname of BernNadette Stanis, an American actress best known for her role as Thelma Evans on the 1970s sitcom "Good Times."
- 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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a76ae688190b068e4c92603a16d |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdffe21fc8190acffc2e92d13aa5d |
completed | March 31, 2026, 2:53 p.m. |
Created at: March 30, 2026, 5:05 p.m.