Triple
T20916726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Engadine |
E515091
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Zuoz |
—
|
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: Zuoz | Statement: [Upper Engadine, containsSettlement, Zuoz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zuoz Context triple: [Upper Engadine, containsSettlement, Zuoz]
-
A.
Zuoz
chosen
Zuoz is a picturesque alpine village and ski resort in Switzerland’s Upper Engadine valley, known for its well-preserved historic center and traditional Engadine architecture.
-
B.
Shicheng
Shicheng is a Chinese given name notably borne by the late Qing dynasty general Nie Shicheng.
-
C.
Raoping
Raoping is a coastal county in eastern Guangdong, China, known for its Teochew culture and strategic location along major transport routes.
-
D.
Jianyang
Jianyang is a county-level city in northern Fujian Province, China, known for its historical role in tea production and its location along the Min River.
-
E.
Zhongmou
Zhongmou is the courtesy name of Sun Quan, the founding emperor of Eastern Wu during China’s Three Kingdoms period.
- 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec635f4881909a560fb891100d8c |
completed | April 21, 2026, 3:17 a.m. |
Created at: April 16, 2026, 12:48 p.m.