Triple
T34142592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tierra Caliente region |
E875757
|
entity |
| Predicate | timePeriodOfIntenseViolence |
P41584
|
FINISHED |
| Object | early 21st century |
—
|
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: early 21st century | Statement: [Tierra Caliente region, timePeriodOfIntenseViolence, early 21st century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfIntenseViolence Context triple: [Tierra Caliente region, timePeriodOfIntenseViolence, early 21st century]
-
A.
peakViolencePeriod
chosen
Indicates the time period during which violence reaches its highest intensity or frequency within a given context.
-
B.
timeOfMassViolence
Indicates the specific time at which an act or event of mass violence occurred.
-
C.
periodOfAbuse
Indicates the time span during which abusive behavior occurred or was experienced.
-
D.
violenceLevel
Indicates the degree or intensity of violent behavior, actions, or content present in or associated with an entity.
-
E.
hasMainDayOfViolence
Indicates that an event or situation is associated with a specific primary day on which the main acts of violence occurred.
- 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_69f349aaeef08190a20e72a3fdeb7052 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 1, 2026, 1:54 a.m.