Triple
T11388798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parker, Arizona |
E269777
|
entity |
| Predicate | regionalHubFor |
P2958
|
FINISHED |
| Object | La Paz County |
E594039
|
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: La Paz County | Statement: [Parker, Arizona, regionalHubFor, La Paz County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Paz County Context triple: [Parker, Arizona, regionalHubFor, La Paz County]
-
A.
La Paz County
chosen
La Paz County is a sparsely populated county in western Arizona known for its desert landscapes, Colorado River recreation areas, and small rural communities.
-
B.
Saluda County
Saluda County is a rural county in central South Carolina known for its agricultural landscape, historic small towns, and outdoor recreation along its rivers and lakes.
-
C.
Mayes County
Mayes County is a county in northeastern Oklahoma known for its mix of small towns, agricultural areas, and recreational lakes.
-
D.
Prescott County
Prescott County was a former county in eastern Ontario, Canada, that later became part of the United Counties of Prescott and Russell.
-
E.
Sierra County
Sierra County is a sparsely populated, mountainous county in northeastern California known for its rugged Sierra Nevada landscapes and historic Gold Rush-era towns.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc389d4c81909515a5c8b0099c36 |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e8cc338081908da977b5b7c6bef3 |
completed | April 20, 2026, 8:50 a.m. |
Created at: April 8, 2026, 9:34 p.m.