Triple
T4240945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middle Tennessee |
E95410
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Clarksville |
E146471
|
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: Clarksville | Statement: [Middle Tennessee, containsCity, Clarksville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clarksville Context triple: [Middle Tennessee, containsCity, Clarksville]
-
A.
Clarksville
chosen
Clarksville is a rapidly growing city in northern Tennessee known for its proximity to Fort Campbell and its role as a regional economic and cultural center.
-
B.
Cookeville
Cookeville is a city in Tennessee known as a regional hub for education, healthcare, and commerce on the Cumberland Plateau.
-
C.
Clinton, Tennessee
Clinton, Tennessee is a small city in Anderson County known for its proximity to Oak Ridge and its historical ties to early U.S. nuclear research and development.
-
D.
Johnson City
Johnson City is a small Texas town best known as the hometown of U.S. President Lyndon B. Johnson and as a gateway to the scenic Texas Hill Country.
-
E.
Johnson City
Johnson City is a mid-sized city in northeastern Tennessee known as part of the Tri-Cities region and a hub for education, healthcare, and outdoor recreation.
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e87c9d88190a093b1289df5b974 |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b779a93081909af1abdf664f040f |
completed | March 14, 2026, 7:31 p.m. |
Created at: March 12, 2026, 11:05 p.m.