Triple
T36237633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Creek people |
E891416
|
entity |
| Predicate | grew |
P184795
|
FINISHED |
| Object | maize |
—
|
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: maize | Statement: [Lower Creek people, grew, maize]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grew Context triple: [Lower Creek people, grew, maize]
-
A.
grewToOver
Indicates that something increased in size, amount, or level until it surpassed a specified threshold.
-
B.
grewBy
Indicates that one entity’s size, amount, or value increased by a specified quantity or proportion over a given period or change.
-
C.
growsFrom
Indicates that one entity develops, originates, or emerges from another as its source or substrate.
-
D.
spurredGrowthOf
Indicates that one entity actively stimulated, accelerated, or caused an increase or expansion in another entity’s size, activity, or development.
-
E.
growsAlong
Indicates that one entity develops or extends in physical proximity and roughly parallel to the length or course of another entity.
- F. None of above. chosen
Provenance (4 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_69f76e4387048190a1b27bcbf4ec7423 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b5f89c5c8190825ed5d4317c540c |
completed | May 3, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c44390819084fb5558b354658f |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b57aa0848190a22c31c3ff90e0ab |
completed | May 3, 2026, 8:52 p.m. |
Created at: May 3, 2026, 4:09 p.m.