Triple
T4159921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jefe del Estado Mayor del Ejército del Aire y del Espacio |
E91505
|
entity |
| Predicate | título en español |
P22236
|
FINISHED |
| Object | Jefe del Estado Mayor del Ejército del Aire y del Espacio |
—
|
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: Jefe del Estado Mayor del Ejército del Aire y del Espacio | Statement: [Jefe del Estado Mayor del Ejército del Aire y del Espacio, título en español, Jefe del Estado Mayor del Ejército del Aire y del Espacio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: título en español Context triple: [Jefe del Estado Mayor del Ejército del Aire y del Espacio, título en español, Jefe del Estado Mayor del Ejército del Aire y del Espacio]
-
A.
titleInSpanish
chosen
Indicates that one entity is the title of another entity expressed in the Spanish language.
-
B.
titleInEnglish
Indicates that an entity’s title or name is given in the English language.
-
C.
hasNameInSpanish
Indicates that an entity is associated with a specific name expressed in the Spanish language.
-
D.
titleInLatinScript
Indicates that the title of an entity is written or represented using a Latin-based writing system.
-
E.
hasLatinTitleOf
Indicates that one entity has, uses, or is associated with the Latin-language title corresponding to another entity.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0321eee88190871c1d4bf44a5007 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018dc90c8190a754b1bfbc802e80 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:44 p.m.