Triple
T34560464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marjorie Kinnan Rawlings |
E887322
|
entity |
| Predicate | The YearlingSettingLocation |
P20834
|
FINISHED |
| Object | rural Florida |
—
|
LITERAL 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: rural Florida | Statement: [Marjorie Kinnan Rawlings, The YearlingSettingLocation, rural Florida]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: The YearlingSettingLocation Context triple: [Marjorie Kinnan Rawlings, The YearlingSettingLocation, rural Florida]
-
A.
placeOfSetting
chosen
Indicates the location or environment where an event, scene, or situation takes place.
-
B.
protagonistLocation
Indicates the location or setting where the story’s main protagonist is situated at a given time.
-
C.
placeOfResidenceDuringBillieJoeChildhood
Indicates the location where Billie Joe lived during their childhood period.
-
D.
usesPastoralSetting
Indicates that the action or work is set in an idealized rural or countryside environment characteristic of pastoral themes.
-
E.
juvenileHabitat
Indicates the type of environment or location where an organism lives during its juvenile (immature) life stage.
- F. None of above.
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_69f349d0c4d881908dd0950f5eb9ec0a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:02 a.m.