Triple
T28700658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran Cruz de la Orden del Mérito Civil |
E729540
|
entity |
| Predicate | otorgadaA |
P168
|
FINISHED |
| Object | personas físicas |
—
|
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: personas físicas | Statement: [Gran Cruz de la Orden del Mérito Civil, otorgadaA, personas físicas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: otorgadaA Context triple: [Gran Cruz de la Orden del Mérito Civil, otorgadaA, personas físicas]
-
A.
aimedToGrant
Indicates an intention or effort to provide or confer something (such as a right, benefit, or permission) to a recipient.
-
B.
grantedBy
Indicates that a right, permission, or benefit is conferred or authorized by one entity to another.
-
C.
grantedTo
chosen
Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
-
D.
grantedIn
Indicates that something (such as a right, status, or permission) is formally conferred or authorized within a particular context, document, or jurisdiction.
-
E.
believedToGrant
Indicates that something is thought or assumed to provide, confer, or bestow a particular benefit, quality, or effect.
- 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_69f656b4097c8190b6a99be60bc8b670 |
completed | May 2, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 5:42 a.m.