Triple
T34625617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maycomb County, Alabama |
E889126
|
entity |
| Predicate | hasEconomyDepiction |
P52901
|
FINISHED |
| Object | agricultural economy |
—
|
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: agricultural economy | Statement: [Maycomb County, Alabama, hasEconomyDepiction, agricultural economy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEconomyDepiction Context triple: [Maycomb County, Alabama, hasEconomyDepiction, agricultural economy]
-
A.
hasEconomyCharacteristic
chosen
Indicates that an economy possesses a particular attribute, feature, or quality.
-
B.
hasEconomicDimension
Indicates that something involves, affects, or is characterized by economic factors, considerations, or consequences.
-
C.
economyIncludes
Indicates that an economy encompasses, contains, or is composed of the specified component, sector, or element.
-
D.
economyStatus
Indicates the current economic condition or level of prosperity associated with an entity, such as its financial health, growth, or stability.
-
E.
hasEconomicContext
Indicates that something is associated with, influenced by, or situated within a particular economic situation, condition, or set of financial circumstances.
- 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_69f349d64a388190a013cfa9bd33fad7 |
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, 2:04 a.m.