Triple
T19786552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarganserland region |
E475284
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Pfäfers |
—
|
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: Pfäfers | Statement: [Sarganserland region, contains, Pfäfers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pfäfers Context triple: [Sarganserland region, contains, Pfäfers]
-
A.
Pfäfers
chosen
Pfäfers is a Swiss municipality in the canton of St. Gallen, known for its historic Benedictine monastery and scenic location in the Tamina valley.
-
B.
Pfaeff
Pfaeff is an alternative spelling or transliteration of the surname "Pfaff," which is associated with various people and brands, notably the German sewing machine manufacturer.
-
C.
Hofbieber
Hofbieber is a municipality in the state of Hesse in central Germany, known for its rural setting in the Rhön Mountains region.
-
D.
Schöpfl
Schöpfl is a prominent mountain in Lower Austria known as the highest peak of the Vienna Woods range.
-
E.
Pfitsch
Pfitsch is a municipality in South Tyrol in northern Italy, located in a valley near the Austrian border and known for its alpine landscape and traditional Tyrolean character.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65387d3348190a31f9c2f9bc1c6d9 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.