Triple
T23581568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juárez Cartel |
E582218
|
entity |
| Predicate | grewInPowerDuring |
P152797
|
FINISHED |
| Object | 1990s |
—
|
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: 1990s | Statement: [Juárez Cartel, grewInPowerDuring, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grewInPowerDuring Context triple: [Juárez Cartel, grewInPowerDuring, 1990s]
-
A.
gainedPowerAfter
Indicates that one entity acquired power, authority, or influence subsequent to an event, condition, or action involving another entity.
-
B.
spurredGrowthOf
Indicates that one entity actively stimulated, accelerated, or caused an increase or expansion in another entity’s size, activity, or development.
-
C.
grewBy
Indicates that one entity’s size, amount, or value increased by a specified quantity or proportion over a given period or change.
-
D.
cameToPowerThrough
Indicates the manner or process by which an entity attained authority, leadership, or control, specifying how it rose to power.
-
E.
regainedPowerIn
Indicates that an entity has recovered or reestablished its previous level of power, control, or authority within a specified context or domain.
- F. None of above. chosen
Provenance (4 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_69e248f8d8248190acd5aee77f0d1709 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b02cf4e0819094ff4e406cda270d |
completed | April 29, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:39 p.m.