Triple
T15940178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upton County |
E386536
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Midland County |
E264393
|
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: Midland County | Statement: [Upton County, borderedBy, Midland County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midland County Context triple: [Upton County, borderedBy, Midland County]
-
A.
Midland County
chosen
Midland County is a county in western Texas centered around the city of Midland, a major hub for the Permian Basin oil and gas industry.
-
B.
Midland County
Midland County is a county in central Michigan known for its role in the Great Lakes Bay Region and as the home of the city of Midland and major chemical industry operations.
-
C.
Blanco County
Blanco County is a rural county in central Texas known for its scenic Hill Country landscapes, small towns, and outdoor recreation along the Blanco River.
-
D.
Lawrence County
Lawrence County is a rural county in central Mississippi known for its small communities, forests, and agricultural landscape.
-
E.
Lawrence County
Lawrence County is a county in western South Dakota known for including part of the Black Hills region and the historic city of Deadwood.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156cd3a188190a1a7dcbfdd38284c |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d25abec8190954b640b63efa0c2 |
completed | May 10, 2026, 2:58 p.m. |
Created at: April 10, 2026, 4:53 a.m.