Triple
T1034232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basel-Stadt |
E22322
|
entity |
| Predicate | bordersCanton |
P224
|
FINISHED |
| Object | Basel-Landschaft |
E15795
|
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: Basel-Landschaft | Statement: [Basel-Stadt, bordersCanton, Basel-Landschaft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Basel-Landschaft Context triple: [Basel-Stadt, bordersCanton, Basel-Landschaft]
-
A.
Basel-Landschaft
chosen
Basel-Landschaft is a canton in northwestern Switzerland known for its proximity to Basel and its mix of industrial centers, suburban communities, and rural landscapes.
-
B.
Swabian Jura
The Swabian Jura is a low mountain range in southwestern Germany known for its limestone plateaus, caves, and picturesque landscapes stretching across Baden-Württemberg.
-
C.
Berner
A Berner is a resident or native of the Swiss city of Bern.
-
D.
Swiss Plateau
The Swiss Plateau is a densely populated, gently rolling central region of Switzerland lying between the Jura Mountains and the Alps, known for its major cities, agriculture, and industry.
-
E.
Thun
Thun is a historic Swiss town in the canton of Bern, known for its medieval old town, lakeside setting on Lake Thun, and views of the surrounding Alps.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b814c16c8190ac4d20feecdadbae |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac42990be88190aeda5ec08fce5288 |
completed | March 7, 2026, 3:22 p.m. |
Created at: March 1, 2026, 7:41 p.m.