Triple
T24640800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura García |
E609954
|
entity |
| Predicate | componentFamilyNameLanguage |
P135914
|
FINISHED |
| Object | García is a Spanish surname |
—
|
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 a Spanish surname | Statement: [Laura García, componentFamilyNameLanguage, García is a Spanish surname]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: componentFamilyNameLanguage Context triple: [Laura García, componentFamilyNameLanguage, García is a Spanish surname]
-
A.
componentNameLanguage
Indicates that a component’s name is expressed or recorded in a specific language.
-
B.
componentFamilyName
chosen
Indicates the family or group designation to which a given component belongs.
-
C.
languageFamilyAssociated
Indicates that there is an association or connection between a language and a particular language family.
-
D.
languageFamilyOf
Indicates that one entity is the language family to which the other entity (a specific language) belongs.
-
E.
languageOfFamily
Indicates the language or languages commonly used or associated with a particular family.
- 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_69e2c4d28f848190ac38c400060e943d |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be064ff88190b5d9e5ec75a41242 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:33 a.m.