Triple
T24703624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estrutura em Diagonal |
E611825
|
entity |
| Predicate | usesCompositionalElement |
P3097
|
FINISHED |
| Object | planos geométricos |
—
|
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: planos geométricos | Statement: [Estrutura em Diagonal, usesCompositionalElement, planos geométricos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCompositionalElement Context triple: [Estrutura em Diagonal, usesCompositionalElement, planos geométricos]
-
A.
usesCompositionalDevice
Indicates that an entity employs a specific compositional technique or device in creating or structuring something.
-
B.
usesElement
chosen
Indicates that one entity makes use of, incorporates, or depends on a specified element in its structure, function, or behavior.
-
C.
usesElementsOf
Indicates that one entity incorporates, applies, or draws upon components, principles, or features derived from another entity.
-
D.
isComposedIn
Indicates that something is created, written, or formed within a particular context, medium, or framework.
-
E.
hasCompositionalFocus
Indicates that one entity is the primary subject or focal element within the compositional structure of 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_69e2c4d9c24c8190a3712d74327f0c6e |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 3:23 a.m.