Triple
T35695441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Scott |
E1031424
|
entity |
| Predicate | state of political activity |
P198093
|
FINISHED |
| Object | Georgia |
—
|
NE NERFINISHED |
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: Georgia | Statement: [David Scott, state of political activity, Georgia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: state of political activity Context triple: [David Scott, state of political activity, Georgia]
-
A.
politicalActivityLevel
Indicates the degree or intensity of an entity’s involvement or participation in political actions, events, or processes.
-
B.
postPoliticalActivity
Indicates that an entity engages in political actions or activities following a particular event, period, or condition.
-
C.
genreOfPoliticalActivity
Indicates the specific type or category of political activity that characterizes or classifies a given political action or engagement.
-
D.
electoralActivityLevel
Indicates the degree or intensity of participation or engagement in electoral processes or activities.
-
E.
electoralActivity
Indicates involvement in activities related to organizing, participating in, or influencing an election or electoral process.
- 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fec8aef1d8819094c7fd7074038e6b |
completed | May 9, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69fec639876481908efd84a3631a4271 |
completed | May 9, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69fec8adaa308190a9a276f8c36f15f0 |
completed | May 9, 2026, 5:39 a.m. |
Created at: May 3, 2026, 4:05 p.m.