Triple
T20151378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tolstoy Farm |
E491438
|
entity |
| Predicate | activitiesIncluded |
P102916
|
FINISHED |
| Object | farming |
—
|
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: farming | Statement: [Tolstoy Farm, activitiesIncluded, farming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activitiesIncluded Context triple: [Tolstoy Farm, activitiesIncluded, farming]
-
A.
includesActivities
chosen
Indicates that one entity contains, encompasses, or has as part of it the activities associated with another entity.
-
B.
activityType
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
-
C.
activitiesCarriedOutFor
Indicates that certain activities are performed on behalf of, in service of, or for the benefit of a particular entity.
-
D.
activity
Indicates that an entity is engaged in or performing a particular action, behavior, or process.
-
E.
otherActivity
Indicates that an entity is engaged in an activity that is different from a primary, specified, or expected activity.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667dc34e081908e42e4c1bde26170 |
completed | April 20, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69e54cfd924881909b55f3e4d3e7e070 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:33 p.m.