Triple
T7222836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Alabama region |
E150301
|
entity |
| Predicate | typicalCountyType |
P58935
|
FINISHED |
| Object | predominantly rural counties |
—
|
LITERAL 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: predominantly rural counties | Statement: [East Alabama region, typicalCountyType, predominantly rural counties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCountyType Context triple: [East Alabama region, typicalCountyType, predominantly rural counties]
-
A.
countyType
chosen
Indicates the classification or category of a county within an administrative or governmental system.
-
B.
traditionalCountyIncludes
Indicates that a traditional or historic county geographically contains or encompasses another area or entity within its boundaries.
-
C.
includesCounty
Indicates that a larger geographic or administrative region contains or encompasses a specific county within its boundaries.
-
D.
majorCounty
Indicates that a county holds primary or significant administrative, economic, or demographic importance within a larger region or jurisdiction.
-
E.
inCounty
Indicates that one entity is geographically or administratively located within the boundaries of a specified county.
- F. None of above.
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_69c687effb44819092b95d07d0368c9f |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e9b54a5c8190a4a289f32853a8fe |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e761b7fc8190857794d78af1b468 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:54 p.m.