Triple
T28578349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government of Oaxaca |
E723302
|
entity |
| Predicate | electionSystemLevel |
P17877
|
FINISHED |
| Object | state level in Mexico |
—
|
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: state level in Mexico | Statement: [Government of Oaxaca, electionSystemLevel, state level in Mexico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electionSystemLevel Context triple: [Government of Oaxaca, electionSystemLevel, state level in Mexico]
-
A.
electionSystemFeature
Indicates that an election system possesses a specific characteristic, mechanism, or procedural feature related to how elections are conducted or managed.
-
B.
electoralSystemContext
chosen
Indicates the electoral system or framework within which a political or electoral event, action, or relationship takes place.
-
C.
electionMethod
Indicates the process or system used to select a candidate or make a decision in an election.
-
D.
electoralSystemJurisdiction
Indicates the jurisdiction (such as a country, state, or region) within which a particular electoral system is applied or has authority.
-
E.
electoralSystemConcerned
Indicates that something is related to, affected by, or focused on a particular electoral system.
- 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_69f01d7e97708190ae9e77ee66a68abd |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
Created at: April 28, 2026, 4:13 a.m.