Triple
T2837708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle for Grain |
E62389
|
entity |
| Predicate | encouragedActivity |
P1164
|
FINISHED |
| Object | cultivation of wheat |
—
|
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: cultivation of wheat | Statement: [Battle for Grain, encouragedActivity, cultivation of wheat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: encouragedActivity Context triple: [Battle for Grain, encouragedActivity, cultivation of wheat]
-
A.
activityType
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
-
B.
typicalActivity
chosen
Indicates that an entity is commonly or characteristically engaged in a particular activity.
-
C.
activity
Indicates that an entity is engaged in or performing a particular action, behavior, or process.
-
D.
settingOfActivities
Indicates that a particular place or context serves as the environment in which certain activities occur or are carried out.
-
E.
activityTime
Indicates the time period during which an activity occurs or is scheduled to take place.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdeede0488190a9782f55b57559ee |
completed | March 7, 2026, 8:16 a.m. |
| PD | Predicate disambiguation | batch_69abdd0ce8b08190ba28c192988f38ce |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:01 p.m.