Triple
T4801089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ley de Sucesión en la Jefatura del Estado |
E106832
|
entity |
| Predicate | facultadOtorgada |
P60208
|
FINISHED |
| Object | designar sucesor en la Jefatura del Estado |
—
|
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: designar sucesor en la Jefatura del Estado | Statement: [Ley de Sucesión en la Jefatura del Estado, facultadOtorgada, designar sucesor en la Jefatura del Estado]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: facultadOtorgada Context triple: [Ley de Sucesión en la Jefatura del Estado, facultadOtorgada, designar sucesor en la Jefatura del Estado]
-
A.
grantsDegreesFrom
Indicates that an institution has the authority to confer academic degrees originating from a specified source or program.
-
B.
degreeGrantedBy
Indicates that a specific academic degree was officially conferred by a particular granting institution.
-
C.
isLargestFacultyOf
Indicates that one faculty is the largest (typically by size, number of members, or resources) among all faculties within a given institution or context.
-
D.
isPublicUniversityFaculty
Indicates that a person holds a faculty position at a public (state- or government-funded) university.
-
E.
hasFaculty
Indicates that an institution or department possesses or is associated with one or more faculty members.
- F. None of above. chosen
Provenance (4 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_69bd43f6a1e08190bf0a372bfc336ee5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1c43a48190a65e56b1624a2339 |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6ff731188190a9903602122d4ff9 |
completed | March 20, 2026, 4:04 p.m. |
Created at: March 20, 2026, 1:23 p.m.