Triple
T21580085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Franklin |
E532499
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Greeneville |
—
|
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: Greeneville | Statement: [State of Franklin, capital, Greeneville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greeneville Context triple: [State of Franklin, capital, Greeneville]
-
A.
Greeneville, Tennessee
chosen
Greeneville, Tennessee is a historic town in northeastern Tennessee best known as the longtime home of President Andrew Johnson and for its role in early American frontier and Civil War history.
-
B.
Dandridge
Dandridge is a surname most famously associated with Dorothy Dandridge, a pioneering African-American film actress and singer.
-
C.
Hendersonville
Hendersonville is a small unincorporated community in Pennsylvania, United States.
-
D.
Hendersonville
Hendersonville is a small city in western North Carolina known for its historic downtown, apple orchards, and role as a regional cultural and commercial center.
-
E.
Cookeville
Cookeville is a city in Tennessee known as a regional hub for education, healthcare, and commerce on the Cumberland Plateau.
- 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_69e0c4618bec8190bcb0feb74568cbb1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb5b8118819095fd751a03fbe8e8 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 16, 2026, 6:31 p.m.