Triple
T21645607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Münchenstein |
E534204
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Pfeffingen |
—
|
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: Pfeffingen | Statement: [Münchenstein, neighboringMunicipality, Pfeffingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pfeffingen Context triple: [Münchenstein, neighboringMunicipality, Pfeffingen]
-
A.
Pfeffingen
Pfeffingen is a former municipality in the Zollernalb district of Baden-Württemberg, Germany, that was incorporated into the town of Albstadt.
-
B.
Pfeffingen
chosen
Pfeffingen is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland, known for its rural character and proximity to the city of Basel.
-
C.
Pennenfeld
Pennenfeld is a residential subdistrict of the Bonn borough of Bad Godesberg in Germany.
-
D.
Pfaffenberg
Pfaffenberg is a small locality in the Straubing-Bogen district of Bavaria, Germany.
-
E.
Pfaffenstein
Pfaffenstein is a prominent table mountain in Germany’s Elbe Sandstone Mountains, known for its striking rock formations and popular hiking routes.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5394c570819081dbbe7e0f98f7d3 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 16, 2026, 6:35 p.m.