Triple
T24251669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | María García |
E603542
|
entity |
| Predicate | sharesSurnameWithMany |
P155334
|
FINISHED |
| Object | García is one of the most frequent Spanish surnames |
—
|
NE NERFINISHED |
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: García is one of the most frequent Spanish surnames | Statement: [María García, sharesSurnameWithMany, García is one of the most frequent Spanish surnames]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesSurnameWithMany Context triple: [María García, sharesSurnameWithMany, García is one of the most frequent Spanish surnames]
-
A.
hasLastNameInCommonWith
Indicates that two entities share the same last name.
-
B.
associatedSurname
Indicates that one entity has a surname that is linked or connected to another entity, such as a person, family, or name record.
-
C.
sharesGivenNameWith
Indicates that two entities have the same given (first) name.
-
D.
possibleSurnameUsage
Indicates that an entity can potentially be used or recognized as a surname for another entity.
-
E.
equivalentSurname
Indicates that two entities share the same surname or are considered to have matching surnames for identification or equivalence purposes.
- 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_69e29540da0481909a38bdae315b7a02 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28b89eb8081909ccf37081add5cee |
completed | April 29, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 12:05 a.m.