Triple
T6497700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jefe del Estado Mayor General de la Fuerza Aérea |
E148798
|
entity |
| Predicate | idiomaDelTítulo |
P22236
|
FINISHED |
| Object | español |
—
|
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: español | Statement: [Jefe del Estado Mayor General de la Fuerza Aérea, idiomaDelTítulo, español]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: idiomaDelTítulo Context triple: [Jefe del Estado Mayor General de la Fuerza Aérea, idiomaDelTítulo, español]
-
A.
titleInSpanish
chosen
Indicates that one entity is the title of another entity expressed in the Spanish language.
-
B.
languageOfTitleHolder
Indicates the language in which the title held by a given title holder is expressed or recorded.
-
C.
hasLatinTitleOf
Indicates that one entity has, uses, or is associated with the Latin-language title corresponding to another entity.
-
D.
originalLanguageTitle
Indicates the title of a work as it appears in its original language of creation or publication.
-
E.
languageOfAlternativeTitle
Indicates the language in which an alternative or variant title of an entity is expressed.
- 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_69c687e9ad288190bae5bcac9c8ac855 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f386aa08190bfc8592a92ec6339 |
completed | March 27, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69c68ab714908190aa7c2fbf64078e15 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:41 p.m.