Triple
T20728428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bozeman |
E509500
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Bozangeles |
—
|
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: Bozangeles | Statement: [Bozeman, hasNickname, Bozangeles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bozangeles Context triple: [Bozeman, hasNickname, Bozangeles]
-
A.
Bozangeles
chosen
Bozangeles is a playful nickname for Bozeman, Montana, reflecting its rapid growth, rising cultural scene, and increasingly big-city vibe.
-
B.
Betanzos
Betanzos is a historic town in Galicia, Spain, known for its well-preserved medieval quarter and traditional festivals.
-
C.
Báguanos
Báguanos is a municipality in eastern Cuba located in the province of Holguín, known for its agricultural activities and rural communities.
-
D.
Vagos
Vagos is a coastal municipality in central Portugal known for its beaches, dunes, and integration into the Aveiro region’s lagoon landscape.
-
E.
The Carbonas
The Carbonas are an Atlanta-based punk rock band known for their raw, fast, and hook-driven garage punk sound that gained a cult following in the 2000s underground scene.
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1e9ed708190ad8e371646630fea |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:30 p.m.