Triple
T17080400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Colorado Rockies |
E414454
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Buena Vista |
E469123
|
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: Buena Vista | Statement: [Central Colorado Rockies, contains, Buena Vista]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buena Vista Context triple: [Central Colorado Rockies, contains, Buena Vista]
-
A.
Buena Vista
chosen
Buena Vista is a small mountain town in central Colorado known for its outdoor recreation, especially whitewater rafting on the Arkansas River and access to the Collegiate Peaks.
-
B.
Buena Vista
Buena Vista is a small city in Marion County, Georgia, known as a rural community in the west-central part of the state.
-
C.
Buena Vista
Buena Vista is a brand name historically used by The Walt Disney Company for its international film distribution and related entertainment operations.
-
D.
Buena Vista
Buena Vista is a historic battlefield in northern Mexico best known as the site of a major American victory during the Mexican–American War.
-
E.
Buona Vista
Buona Vista is a district in western Singapore known for its technology hubs, research institutions, and mixed residential-commercial developments.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe24a6481908b4596c95220df4a |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ee243c081909aa6d470e002222a |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:34 a.m.