Triple
T28700651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran Cruz de la Orden del Mérito Civil |
E729540
|
entity |
| Predicate | tipoDeDistinción |
P3450
|
FINISHED |
| Object | condecoración honorífica |
—
|
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: condecoración honorífica | Statement: [Gran Cruz de la Orden del Mérito Civil, tipoDeDistinción, condecoración honorífica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tipoDeDistinción Context triple: [Gran Cruz de la Orden del Mérito Civil, tipoDeDistinción, condecoración honorífica]
-
A.
typeOfDiscrimination
Indicates a relationship where one party is subjected to a specific kind or category of discriminatory treatment by another party or within a given context.
-
B.
distinction
chosen
Indicates that one entity is recognized, treated, or classified as different or separate from another.
-
C.
distinguishingTrait
Indicates that a particular characteristic or feature uniquely differentiates one entity from another.
-
D.
tipoDeVariedadDescrita
Indicates that one entity specifies or denotes the type of variety described for another entity.
-
E.
typeDiscipline
Indicates that an entity is associated with, categorized under, or characterized by a particular discipline or field of study.
- 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_69f043e6e9688190b6bdd6e5665498ff |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 5:42 a.m.