Triple
T18131305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxapampa |
E434017
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Pasco Region |
—
|
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: Pasco Region | Statement: [Oxapampa, locatedIn, Pasco Region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pasco Region Context triple: [Oxapampa, locatedIn, Pasco Region]
-
A.
Pasco Region
chosen
Pasco Region is an inland administrative region of central Peru known for its Andean highlands, mining activities, and diverse ecosystems ranging from mountains to cloud forests.
-
B.
Pasco
Pasco is a station on Buenos Aires’ historic Line A subway, serving the Balvanera neighborhood in Argentina’s capital.
-
C.
Pasco
Pasco is a city in southeastern Washington State that forms part of the Tri-Cities region along with Kennewick and Richland.
-
D.
Pasco County, Florida
Pasco County, Florida is a county on the west-central coast of the state, north of the Tampa Bay area, known for its mix of suburban communities, rural areas, and Gulf Coast shoreline.
-
E.
North Central Florida
North Central Florida is a region of the U.S. state of Florida characterized by its inland location, college towns like Gainesville, and a mix of rural landscapes, springs, and forests.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddf1e2508190993f65ca137fdf63 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:29 a.m.