Triple
T19396798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxapampa Province |
E485211
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Villa Rica |
—
|
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: Villa Rica | Statement: [Oxapampa Province, hasMajorTown, Villa Rica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villa Rica Context triple: [Oxapampa Province, hasMajorTown, Villa Rica]
-
A.
Villa Rica
Villa Rica is a small city in western Georgia historically known as one of the earliest gold-mining boom towns in the United States.
-
B.
Villa Rica
chosen
Villa Rica is a town in Peru’s Pasco Region, known for its coffee production and Andean highland setting.
-
C.
Hainesville
Hainesville is a small unincorporated community located within Berkeley County in the U.S. state of West Virginia.
-
D.
Thomasville
Thomasville is a small city in southern Georgia known for its historic downtown, Victorian architecture, and annual Rose Show and Festival.
-
E.
Villa Rica, Georgia
Villa Rica, Georgia is a small historic city in the Atlanta metropolitan area known for being the site of one of the earliest major gold rushes in the United States.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62573f5788190a635b92121db2cf7 |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.