Triple
T16482251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pfäfers |
E400348
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Pfäfers (village) |
E400348
|
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: Pfäfers (village) | Statement: [Pfäfers, hasSettlement, Pfäfers (village)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pfäfers (village) Context triple: [Pfäfers, hasSettlement, Pfäfers (village)]
-
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.
Eggersriet village
Eggersriet village is a small rural settlement in the municipality of Eggersriet in the canton of St. Gallen, Switzerland.
-
C.
Mallersdorf-Pfaffenberg
Mallersdorf-Pfaffenberg is a market town in Lower Bavaria, Germany, known for its historic monastery and rural setting within the Straubing-Bogen district.
-
D.
Pfaffenberg
Pfaffenberg is a small locality in the Straubing-Bogen district of Bavaria, Germany.
-
E.
Pfeffingen
Pfeffingen is a former municipality in the Zollernalb district of Baden-Württemberg, Germany, that was incorporated into the town of Albstadt.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e03643881908b16ddb9004af5d0 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005820790c819088d953eeea09328d |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:13 a.m.