Triple
T22426836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mountain Studios, Montreux, Switzerland |
E554391
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Nazareth (band) |
—
|
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: Nazareth (band) | Statement: [Mountain Studios, Montreux, Switzerland, usedBy, Nazareth (band)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nazareth (band) Context triple: [Mountain Studios, Montreux, Switzerland, usedBy, Nazareth (band)]
-
A.
Nazareth
chosen
Nazareth is a Scottish hard rock band formed in the late 1960s, best known for hits like "Love Hurts" and their influential heavy rock sound.
-
B.
Nazareth
Nazareth is a residential suburb of Pinetown in the KwaZulu-Natal province of South Africa.
-
C.
Nazareth
Nazareth is a municipality in the East Flanders province of Belgium, situated near the city of Ghent.
-
D.
Nazareth
Nazareth is a small borough in eastern Pennsylvania known for its historic charm and proximity to the Lehigh Valley region.
-
E.
Nazareth
Nazareth is a historic town in modern-day Israel best known as the childhood home of Jesus and a major center of Christian pilgrimage.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a2e438481908d43026727afa709 |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.