Triple
T10537377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Lucerne |
E248604
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Lucerne |
E31684
|
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: Lucerne | Statement: [University of Lucerne, locatedIn, Lucerne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucerne Context triple: [University of Lucerne, locatedIn, Lucerne]
-
A.
Lucerne
chosen
Lucerne is a picturesque Swiss city known for its preserved medieval architecture, lakeside setting on Lake Lucerne, and proximity to the Swiss Alps.
-
B.
Vetch
Vetch is a surname most notably associated with Samuel Vetch, a colonial governor of Nova Scotia in the early 18th century.
-
C.
Parsley Hay
Parsley Hay is a small hamlet and popular cycling and walking hub in the Peak District National Park, known for its trailhead facilities on former railway routes.
-
D.
Alfalfa
Alfalfa is a beloved character from the classic "Our Gang" (later known as "The Little Rascals") comedy shorts, recognizable for his cowlick hairstyle and off-key singing.
-
E.
Schildkraut
Schildkraut is a surname most notably associated with Austrian-American actor Joseph Schildkraut, an Academy Award winner known for his work in early 20th-century film and theater.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a56133c819088285522e64831f7 |
completed | April 7, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e5b827881909e87651a88976f18 |
completed | April 10, 2026, 2:51 p.m. |
Created at: April 6, 2026, 12:31 p.m.