Triple
T20145828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Civic Choice |
E491299
|
entity |
| Predicate | foundedByProfession |
P97851
|
FINISHED |
| Object | economist |
—
|
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: economist | Statement: [Civic Choice, foundedByProfession, economist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedByProfession Context triple: [Civic Choice, foundedByProfession, economist]
-
A.
foundedByOccupation
Indicates that an entity (such as an organization or institution) was founded by a person or group characterized by a specific occupation or professional role.
-
B.
associatedProfessionOfFounder
chosen
Indicates the professional field or occupation linked to the founder of an entity.
-
C.
founded by
Indicates that an entity was established or created through the initiative, actions, or leadership of another entity.
-
D.
possiblyFoundedBy
Indicates that an entity may have been founded or established by another entity, but this founding relationship is uncertain or not definitively confirmed.
-
E.
wasFoundedBy
Indicates that an organization, institution, or entity came into existence through the initiating action or establishment by a specific founder or founding group.
- 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_69e6679e43a48190b3a5da5710b07ff7 |
completed | April 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69e54cfb0d0081908e789b9b57e96668 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:33 p.m.