Triple
T21645745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leimental |
E534207
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Biel-Benken |
—
|
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: Biel-Benken | Statement: [Leimental, contains, Biel-Benken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biel-Benken Context triple: [Leimental, contains, Biel-Benken]
-
A.
Biel-Benken
chosen
Biel-Benken is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland, near the city of Basel and close to the French and German borders.
-
B.
Biel
Biel is a bilingual Swiss city in the canton of Bern known as a major center of the watchmaking industry and gateway to the Jura region.
-
C.
Biel
Biel is a surname most prominently associated with American actress and producer Jessica Biel.
-
D.
Bütgenbach
Bütgenbach is a municipality in eastern Belgium’s German-speaking Community, known for its scenic lake, outdoor recreation, and proximity to the strategic Elsenborn Ridge.
-
E.
Schippenbeil
Schippenbeil is the former German name for the town now known as Sępopol in northeastern Poland.
- 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.