Triple
T1797186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hendersonville, North Carolina |
E39630
|
entity |
| Predicate | regionEconomy |
P16022
|
FINISHED |
| Object | agriculture |
—
|
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: agriculture | Statement: [Hendersonville, North Carolina, regionEconomy, agriculture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionEconomy Context triple: [Hendersonville, North Carolina, regionEconomy, agriculture]
-
A.
economicImpactRegion
Indicates the region or geographic area that experiences or is affected by a particular economic impact.
-
B.
economicSectorSourceOfWealth
chosen
Indicates that a particular economic sector is the primary source from which an entity derives its wealth or income.
-
C.
economicCommunity
Indicates a relationship where entities are linked through shared economic integration, cooperation, or common market arrangements forming an economic community.
-
D.
hasMajorEconomicRegion
Indicates that an entity includes, is associated with, or is part of a primary or significant economic region within a larger economic or geographic context.
-
E.
countryExclusiveEconomicZone
Indicates that a specified maritime area lies within the exclusive economic zone legally designated to a particular country.
- 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab61b6ea188190aab9fb839bf1e367 |
completed | March 6, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69aa61d2f7a8819090301f92d3e358c7 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.