Triple
T10129674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enterprise, Alabama |
E226302
|
entity |
| Predicate | respondedToBollWeevilBy |
P17295
|
FINISHED |
| Object | diversifying crops to peanuts |
—
|
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: diversifying crops to peanuts | Statement: [Enterprise, Alabama, respondedToBollWeevilBy, diversifying crops to peanuts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: respondedToBollWeevilBy Context triple: [Enterprise, Alabama, respondedToBollWeevilBy, diversifying crops to peanuts]
-
A.
hasOppositionResponse
Indicates that an entity has issued or expressed a response opposing, challenging, or objecting to another entity, action, or proposal.
-
B.
establishedInResponseTo
chosen
Indicates that something was created, initiated, or set up as a direct reaction to a specific event, condition, or stimulus.
-
C.
hasStateInsect
Indicates that a state has designated a particular insect as its official state insect.
-
D.
enactedInResponseTo
Indicates that one action, policy, or measure was carried out as a direct reaction to a specific prior event, condition, or stimulus.
-
E.
answeredBy
Indicates that a question, request, or problem is responded to or resolved by a particular entity.
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd333186c819088bbf617967f24fa |
completed | April 2, 2026, 2:23 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba1d360819087698d04a53cc87e |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:05 p.m.