Triple
T18822094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elmwood Springs series |
E460286
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Elmwood Springs, Missouri |
—
|
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: Elmwood Springs, Missouri | Statement: [Elmwood Springs series, setting, Elmwood Springs, Missouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elmwood Springs, Missouri Context triple: [Elmwood Springs series, setting, Elmwood Springs, Missouri]
-
A.
Elmwood Springs, Missouri
chosen
Elmwood Springs, Missouri is a fictional small Midwestern town created by author Fannie Flagg and featured in several of her interconnected novels.
-
B.
Woodlawn, Missouri
Woodlawn, Missouri is a small unincorporated community located in Monroe County in the U.S. state of Missouri.
-
C.
Cedar Springs, Missouri
Cedar Springs, Missouri is a small unincorporated community located in Vernon County in the western part of the state.
-
D.
Oakwood Park, Missouri
Oakwood Park, Missouri is a small suburban community in Clay County that forms part of the Kansas City metropolitan area.
-
E.
Oakview, Missouri
Oakview, Missouri is a small suburban village in Clay County that forms part of the Kansas City metropolitan area.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6ba90988190a93e1c2fa23b3d1d |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 10, 2026, 11:55 a.m.