Triple
T20007374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los hombres de Paco |
E494492
|
entity |
| Predicate | mixesElement |
P138341
|
FINISHED |
| Object | crime |
—
|
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: crime | Statement: [Los hombres de Paco, mixesElement, crime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mixesElement Context triple: [Los hombres de Paco, mixesElement, crime]
-
A.
mixesElementsOf
Indicates a relationship where one entity combines or blends components, features, or aspects of another entity or set of entities into a unified whole.
-
B.
mixesWith
Indicates that one entity is combined or blended together with another entity to form a mixture.
-
C.
mixType
Indicates that one entity is combined or blended with another in a particular manner or category of mixing.
-
D.
mixingMethod
Indicates the technique or process used to combine multiple components or substances into a uniform mixture.
-
E.
mixingStyle
Indicates how two or more elements are combined or blended together in a particular manner or technique.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a648a88190853ee741edcf6ca2 |
completed | April 20, 2026, 5:25 p.m. |
| PD | Predicate disambiguation | batch_69e54cdddbd48190becc8b2aa5ab4ef9 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:33 p.m.