Triple
T16904208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torrance County |
E424516
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Valencia County |
—
|
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: Valencia County | Statement: [Torrance County, borders, Valencia County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valencia County Context triple: [Torrance County, borders, Valencia County]
-
A.
Valencia County
chosen
Valencia County is a county in central New Mexico, United States, known for its mix of rural communities, agricultural areas, and proximity to the Albuquerque metropolitan region.
-
B.
Suwannee County
Suwannee County is a rural county in northern Florida known for the Suwannee River, agriculture, and small-town communities.
-
C.
Lee County
Lee County is a coastal county on Florida’s Gulf Coast known for its beaches, barrier islands, and the city of Fort Myers.
-
D.
Lee County
Lee County is a county in northern Illinois known for its largely rural landscape, small towns, and agricultural economy.
-
E.
Lee County
Lee County is a county in eastern Alabama known for being home to the city of Auburn and Auburn University.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8de3070819085bfe9696bc887ea |
completed | April 18, 2026, 6:09 p.m. |
Created at: April 10, 2026, 5:30 a.m.