Triple
T31591272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexican criminal justice system |
E806103
|
entity |
| Predicate | majorReformYear |
P50931
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [Mexican criminal justice system, majorReformYear, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorReformYear Context triple: [Mexican criminal justice system, majorReformYear, 2008]
-
A.
timeOfMajorReforms
chosen
Indicates the specific time period during which significant reforms or major changes took place.
-
B.
majorAmendmentYear
Indicates the year in which a significant or major amendment was made to something (such as a document, law, or agreement).
-
C.
lastReform
Indicates the most recent reform or change that was applied to an entity, typically linking the entity to its latest reform event or version.
-
D.
amendmentYear
Indicates the year in which an amendment to a law, document, or agreement was formally made or enacted.
-
E.
yearOfGovernmentChange
Indicates the specific year in which a government was replaced, overthrown, or otherwise changed.
- 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_69f348d4891c8190b02bae3c8ecb68b7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe991bca608190b524e419642f4243 |
completed | May 9, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69fe979fc1c4819091fc48d63ea12063 |
completed | May 9, 2026, 2:10 a.m. |
Created at: April 30, 2026, 10:28 p.m.