Triple
T26298018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vasojevići |
E661469
|
entity |
| Predicate | surnamePattern |
P122278
|
FINISHED |
| Object | many members bear the surname Vasojević |
—
|
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: many members bear the surname Vasojević | Statement: [Vasojevići, surnamePattern, many members bear the surname Vasojević]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surnamePattern Context triple: [Vasojevići, surnamePattern, many members bear the surname Vasojević]
-
A.
familyNamePattern
chosen
Indicates that there is a specific structural or formatting pattern that a family name (surname) follows.
-
B.
surnameVariant
Indicates that one surname is an alternative spelling, form, or variation of another surname.
-
C.
fatherSurname
Indicates that one entity has the same surname as, or is identified by, the family name of, the father in relation to another entity.
-
D.
familyName
Indicates that one entity is the family (last) name associated with another entity (typically a person).
-
E.
familyNamePart
Indicates that one string is a component or segment of a person's full family name.
- 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_69ee812cd48c81908054068f545f0526 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60eafb8a0819090f8db1feca43f64 |
completed | May 2, 2026, 2:48 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 10:13 p.m.