Triple
T20775090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mesa de la Cámara de Diputadas y Diputados |
E511334
|
entity |
| Predicate | estáCompuestaPor |
P14960
|
FINISHED |
| Object | diputadas de la República de Chile |
—
|
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: diputadas de la República de Chile | Statement: [Mesa de la Cámara de Diputadas y Diputados, estáCompuestaPor, diputadas de la República de Chile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estáCompuestaPor Context triple: [Mesa de la Cámara de Diputadas y Diputados, estáCompuestaPor, diputadas de la República de Chile]
-
A.
partlyConsistsOf
Indicates that one entity is composed in part, but not entirely, of another entity.
-
B.
constitutedBy
chosen
Indicates that something is made up of, composed from, or formed by the specified parts or elements.
-
C.
isAComponentOf
Indicates that one entity functions as a constituent part or sub-unit of another, larger entity.
-
D.
structurePartOf
Indicates that one structure is a constituent or component of a larger, encompassing structure.
-
E.
partOfComposition
Indicates that one entity is a component, section, or constituent element within a larger composite whole represented by 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c26a39bc81909ca5d102056d8586 |
completed | April 21, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c0550ec481908a0877fb2409d983 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:37 p.m.