Triple
T36827217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria (surname of Guadalupe Victoria) |
E910042
|
entity |
| Predicate | meaningInSpanish |
P96276
|
FINISHED |
| Object | victory |
—
|
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: victory | Statement: [Victoria (surname of Guadalupe Victoria), meaningInSpanish, victory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meaningInSpanish Context triple: [Victoria (surname of Guadalupe Victoria), meaningInSpanish, victory]
-
A.
meaningInLanguage
Indicates that an expression or symbol has a particular meaning or interpretation within a specified language.
-
B.
hasSpanishMeaning
chosen
Indicates that one entity serves as the Spanish-language meaning or translation of another entity.
-
C.
meaningInGerman
Indicates that one entity expresses the meaning or translation of another entity in the German language.
-
D.
meaningInArabic
Indicates that one entity expresses the meaning or translation of another entity in the Arabic language.
-
E.
meaningInNahuatl
Indicates that one entity expresses the meaning or translation of another entity specifically in the Nahuatl language.
- 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_69f76e7e9d60819092442fba73290a46 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.