Triple
T17195190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | dirección estratégica del Ejército del Aire y del Espacio |
E417330
|
entity |
| Predicate | idiomaDeTrabajoPrincipal |
P1252
|
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: [dirección estratégica del Ejército del Aire y del Espacio, idiomaDeTrabajoPrincipal, español]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: idiomaDeTrabajoPrincipal Context triple: [dirección estratégica del Ejército del Aire y del Espacio, idiomaDeTrabajoPrincipal, español]
-
A.
primaryLanguageInWork
Indicates that a specified language is the main or predominant language used within a particular work (such as a book, film, or document).
-
B.
primaryLanguageOf
chosen
Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
-
C.
workLanguageOfTitle
Indicates the language in which a specific work or title is expressed or written.
-
D.
hasPrimaryLanguage1
Indicates that an entity’s main or most commonly used language is the specified language.
-
E.
languageOfExpression
Indicates that a particular language is used as the medium or form in which an expression (such as a text, utterance, or work) is realized.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42da9e6208190b5c4e5925e840217 |
completed | April 19, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e383141ae0819096acd71683637cbc |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:38 a.m.