Triple
T20132811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José de Patiño |
E490938
|
entity |
| Predicate | governmentReformArea |
P88043
|
FINISHED |
| Object | maritime administration |
—
|
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: maritime administration | Statement: [José de Patiño, governmentReformArea, maritime administration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentReformArea Context triple: [José de Patiño, governmentReformArea, maritime administration]
-
A.
governmentAdministration
Indicates that an entity is responsible for managing, directing, or overseeing the operations, policies, and functions of a government or public authority.
-
B.
governmentalCore
Indicates that something serves as a central, essential, or foundational part of a government or governmental system.
-
C.
governmentalBodyReformed
Indicates that an existing governmental body has been reorganized, restructured, or otherwise formally reformed.
-
D.
reformsArea
chosen
Indicates that an entity is responsible for changing, improving, or restructuring a particular area or domain.
-
E.
governmentalFunction
Indicates that an entity performs, embodies, or is responsible for an official role, duty, or activity of a government.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66763ee908190af64af31b4ca2377 |
completed | April 20, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69e54cfb0d0081908e789b9b57e96668 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:32 p.m.