Triple
T32272634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexican federal system |
E824454
|
entity |
| Predicate | allocatesPowers |
P39066
|
FINISHED |
| Object | exclusive federal powers |
—
|
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: exclusive federal powers | Statement: [Mexican federal system, allocatesPowers, exclusive federal powers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allocatesPowers Context triple: [Mexican federal system, allocatesPowers, exclusive federal powers]
-
A.
allocatesPowersBetween
chosen
Indicates the way in which authority or decision-making powers are distributed or divided among different entities.
-
B.
hasNumberOfPowers
Indicates the quantity of distinct powers or abilities that an entity possesses.
-
C.
allocatesLegislativePower
Indicates that authority or responsibility for making laws is assigned or distributed to a particular body or level of government.
-
D.
allocatesAccordingTo
Indicates that one entity distributes or assigns resources, tasks, or responsibilities to others based on a specified rule, criterion, or plan.
-
E.
allocates
Indicates the act of assigning or distributing resources, responsibilities, or portions of something to specific entities or purposes.
- 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_69f3490e73588190915f282edd105772 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bc8d0ecc8190b33b0e37bd0d443e |
completed | May 3, 2026, 3:10 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:42 a.m.