Triple
T36700894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governor of Buenos Aires |
E906223
|
entity |
| Predicate | economicResponsibility |
P72052
|
FINISHED |
| Object | control of customs revenues |
—
|
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: control of customs revenues | Statement: [Governor of Buenos Aires, economicResponsibility, control of customs revenues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economicResponsibility Context triple: [Governor of Buenos Aires, economicResponsibility, control of customs revenues]
-
A.
financialResponsibility
chosen
Indicates that one entity is obligated to bear the costs, debts, or economic consequences associated with another entity or activity.
-
B.
economicStatus
Indicates the financial or socioeconomic condition or standing of an entity relative to others or to defined economic criteria.
-
C.
economicAspect
Indicates that something is related to, characterized by, or has implications for economic factors, conditions, or outcomes.
-
D.
economicGoal
Indicates that an entity has a targeted economic outcome or objective it aims to achieve.
-
E.
financialContext
Indicates that the relationship or action occurs within, affects, or is interpreted in light of financial conditions, transactions, or considerations.
- 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_69f76e7195c48190b5580c9cfb01e95f |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:12 p.m.