Triple
T37271105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Harmon Plantation |
E924514
|
entity |
| Predicate | primaryCropHistorically |
P1897
|
FINISHED |
| Object | tobacco |
—
|
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: tobacco | Statement: [Mount Harmon Plantation, primaryCropHistorically, tobacco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCropHistorically Context triple: [Mount Harmon Plantation, primaryCropHistorically, tobacco]
-
A.
historicalCultivation
Indicates that an entity has been traditionally grown, farmed, or otherwise cultivated in relation to another entity over a significant historical period.
-
B.
majorCrop
chosen
Indicates that a particular crop is one of the primary or most important crops cultivated in a given area or context.
-
C.
firstCommercialCropType
Indicates the type of crop that was first grown commercially in a given context or location.
-
D.
primaryCropRegion
Indicates that a region is a main or predominant area where a particular crop is grown or produced.
-
E.
hasAgriculturalTraditions
Indicates that an entity maintains established customs, practices, or ways of life related to agriculture and farming.
- 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_69f76eacdd8c819094080d3991e6d37c |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.