Triple
T23290680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sewanee, Tennessee |
E590019
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Sewanee |
—
|
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: Sewanee | Statement: [Sewanee, Tennessee, nickname, Sewanee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sewanee Context triple: [Sewanee, Tennessee, nickname, Sewanee]
-
A.
Sewanee, Tennessee
chosen
Sewanee, Tennessee is a small university town on the Cumberland Plateau best known as the home of The University of the South.
-
B.
Lipscomb
Lipscomb is a small town in the Texas Panhandle that serves as the administrative and governmental center of rural Lipscomb County.
-
C.
Lipscomb
Lipscomb is a small city located in Jefferson County, Alabama, within the Birmingham metropolitan area.
-
D.
Lipscomb
Lipscomb is a surname most notably associated with William N. Lipscomb Jr., an American chemist and Nobel Prize laureate recognized for his work in chemical bonding and molecular structure.
-
E.
Mississippi Southern College
Mississippi Southern College was the former name of the institution now known as the University of Southern Mississippi, a public research university in Hattiesburg, Mississippi.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196cb3fec8190a95255da97dd984e |
completed | April 29, 2026, 5:27 a.m. |
Created at: April 17, 2026, 5:01 p.m.