Triple
T29537309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sekulovich |
E749383
|
entity |
| Predicate | associatedCountryThroughDiaspora |
P45979
|
FINISHED |
| Object | United States |
E14
|
NE 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: United States | Statement: [Sekulovich, associatedCountryThroughDiaspora, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCountryThroughDiaspora Context triple: [Sekulovich, associatedCountryThroughDiaspora, United States]
-
A.
countryOfDiaspora
chosen
Indicates the country in which a diaspora community originating from another place is located.
-
B.
majorDiasporaCountry
Indicates that a country is a primary destination or host state for a significant diaspora population originating from another country.
-
C.
associatedCountry
Indicates that there is a relevant connection or linkage between an entity and a specific country, such as origin, operation, or affiliation.
-
D.
associatedCountryMostProminently
Indicates the country with which an entity is most strongly or prominently associated, relative to any other countries it may be linked to.
-
E.
associatedCountryAtTheTime
Indicates the country with which an entity was linked or affiliated during a specific historical time or event, rather than its current or permanent country association.
- F. None of above.
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_69f0bd47abb081909bd6e6a33d770fd8 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a26614fef0881909279448c64bff35b |
completed | June 8, 2026, 6:29 a.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 28, 2026, 4:59 p.m.