Triple
T30654385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guerra de Tres Años |
E780344
|
entity |
| Predicate | impacto |
P103390
|
FINISHED |
| Object | definición del rumbo político de México en el siglo XIX |
—
|
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: definición del rumbo político de México en el siglo XIX | Statement: [Guerra de Tres Años, impacto, definición del rumbo político de México en el siglo XIX]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impacto Context triple: [Guerra de Tres Años, impacto, definición del rumbo político de México en el siglo XIX]
-
A.
impactStatus
Indicates the current state or condition of how something has affected or influenced a target.
-
B.
impactDescription
chosen
Indicates a description of the effect, consequence, or influence that one entity, action, or event has on another.
-
C.
impactOutcome
Indicates that one entity produces an effect or influence that changes the result, consequence, or final state of another entity or situation.
-
D.
impactEvent
Indicates that one entity physically strikes or collides with another, producing a resulting effect or change.
-
E.
impactOrigin
Indicates that one entity is the source or cause from which the impact or effect on another entity originates.
- 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_69f224a5d2b481908a6853cd0138e2d7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 29, 2026, 8:30 p.m.