Triple
T18822109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elmwood Springs series |
E460286
|
entity |
| Predicate | hasFictionalTown |
P21117
|
FINISHED |
| Object | Elmwood Springs |
—
|
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 | Statement: [Elmwood Springs series, hasFictionalTown, Elmwood Springs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elmwood Springs Context triple: [Elmwood Springs series, hasFictionalTown, Elmwood Springs]
-
A.
Elmwood Springs
chosen
Elmwood Springs is a small, close-knit fictional American town created by Fannie Flagg and used as the setting for several of her interconnected novels.
-
B.
Vails Grove
Vails Grove is a small hamlet within the Town of Southeast in Putnam County, New York, known primarily as a residential lakeside community.
-
C.
Oakwood Park
Oakwood Park is a local public park in New Providence, New Jersey, offering outdoor recreational space and community green areas for residents.
-
D.
Maplewood Park
Maplewood Park is a public recreational park located in Georgetown Township, Michigan.
-
E.
Maplewood Park
Maplewood Park is a neighborhood green space in Portland’s Maplewood area, offering residents outdoor recreation and community gathering areas.
- 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.