Triple
T28478810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centros de simulación del Ejército de Tierra de España |
E720634
|
entity |
| Predicate | tipoDeEntrenamiento |
P97216
|
FINISHED |
| Object | entrenamiento individual |
—
|
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: entrenamiento individual | Statement: [Centros de simulación del Ejército de Tierra de España, tipoDeEntrenamiento, entrenamiento individual]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tipoDeEntrenamiento Context triple: [Centros de simulación del Ejército de Tierra de España, tipoDeEntrenamiento, entrenamiento individual]
-
A.
trainingModality
chosen
Indicates the method or format through which training or instruction is delivered or conducted.
-
B.
typicalTraining
Indicates that an entity commonly undergoes or is associated with a standard or usual form of training in relation to another entity or context.
-
C.
trainingBase
Indicates that one entity serves as the training base, site, or facility where another entity receives training or instruction.
-
D.
trainsetType
Indicates the specific category or role of a dataset within a training process (e.g., training, validation, or test set).
-
E.
trainingIn
Indicates that one entity is undergoing or receiving training within the context, program, or domain specified 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_69f01a5983f48190b7c1b8857245a4f7 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f652a492108190b885b955ce147d3c |
completed | May 2, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 2:54 a.m.