Triple
T36497502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florence Portelli |
E899230
|
entity |
| Predicate | levelOfPoliticalActivity |
P127994
|
FINISHED |
| Object | local politics |
—
|
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: local politics | Statement: [Florence Portelli, levelOfPoliticalActivity, local politics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: levelOfPoliticalActivity Context triple: [Florence Portelli, levelOfPoliticalActivity, local politics]
-
A.
politicalActivityLevel
chosen
Indicates the degree or intensity of an entity’s involvement or participation in political actions, events, or processes.
-
B.
electoralActivityLevel
Indicates the degree or intensity of participation or engagement in electoral processes or activities.
-
C.
levelOfPolitics
Indicates the degree or intensity to which something is associated with political content, influence, or activity.
-
D.
reflectsPoliticalEngagement
Indicates that one entity’s behavior, expression, or state demonstrates or reveals its level or nature of involvement in political processes or activities.
-
E.
hasPoliticalActivityIn
Indicates that an entity engages in or is associated with political activities within a specified location or jurisdiction.
- 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_69f76e5b92088190933afda3f7531dd4 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:10 p.m.