Triple
T34116937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clay County |
E874997
|
entity |
| Predicate | hasFictionalPlantation |
P94035
|
FINISHED |
| Object | Twelve Oaks |
—
|
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: Twelve Oaks | Statement: [Clay County, hasFictionalPlantation, Twelve Oaks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalPlantation Context triple: [Clay County, hasFictionalPlantation, Twelve Oaks]
-
A.
isPlantation
Indicates that one entity is a large-scale agricultural estate or farm, typically used for cultivating cash crops, in relation to another entity.
-
B.
containsPlantation
chosen
Indicates that one entity includes or encompasses a plantation within its area, boundaries, or contents.
-
C.
hasEnslavedCharacter
Indicates that one entity has held another entity in a state of slavery or forced servitude.
-
D.
usesSlavery
Indicates that an entity employs or relies on enslaved people or forced labor as part of its operations or activities.
-
E.
hasFictionalProprietor
Indicates that something is owned, managed, or run by a fictional character or entity within a narrative context.
- 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_69f349a9271c81909576994c9ef7b179 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff6074bcd4819090b72cd6209ff206 |
completed | May 9, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69ff600aba888190812a6e7eca0283b8 |
completed | May 9, 2026, 4:25 p.m. |
Created at: May 1, 2026, 1:53 a.m.