Triple
T37139984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Organización de Desarrollo de las Comunidades Fronterizas del Cenepa |
E920078
|
entity |
| Predicate | idiomaSecundarioDeTrabajo |
P9103
|
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: [Organización de Desarrollo de las Comunidades Fronterizas del Cenepa, idiomaSecundarioDeTrabajo, español]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: idiomaSecundarioDeTrabajo Context triple: [Organización de Desarrollo de las Comunidades Fronterizas del Cenepa, idiomaSecundarioDeTrabajo, español]
-
A.
lenguaDeTrabajo
Indicates that something functions as a working language used for communication in a specific context or setting.
-
B.
hasSecondaryLanguage
chosen
Indicates that an entity possesses or uses a secondary language in addition to its primary language.
-
C.
hasSecondaryNationalLanguage
Indicates that an entity possesses an officially recognized secondary national language in addition to its primary national language.
-
D.
primaryLanguageInWork
Indicates that a specified language is the main or predominant language used within a particular work (such as a book, film, or document).
-
E.
primaryLanguageSide2
Indicates that the second entity in the relationship uses or is associated with the primary language specified.
- 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_69f76e9e9d008190a250b0387c992c74 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.