Triple
T33935224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frequencies Foundation |
E870010
|
entity |
| Predicate | hasCoFounderNationality |
P206741
|
FINISHED |
| Object | Colombian |
—
|
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: Colombian | Statement: [Frequencies Foundation, hasCoFounderNationality, Colombian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoFounderNationality Context triple: [Frequencies Foundation, hasCoFounderNationality, Colombian]
-
A.
founderNationality
Indicates that the specified person’s country of origin or citizenship is the one associated with the founder in question.
-
B.
foundedByCitizenOf
Indicates that an entity (such as an organization, institution, or settlement) was established by a founder who is a citizen of a specified country or state.
-
C.
hasFounderEthnicity
Indicates that an entity has a founder whose ethnicity is the specified value.
-
D.
hasCoFounderBackgroundIn
Indicates that an entity has a co-founder whose professional or educational background is in a specified field or domain.
-
E.
hasCoFounderRoleOf
Indicates that one entity holds the role or position of co-founder in relation to another entity, such as an organization or venture.
- 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_69f3499a59788190bff762a891471b31 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037e07fe4481909ca21eae7a941ee7 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 1, 2026, 1:49 a.m.