Triple
T27495086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Quiet Professionals |
E694001
|
entity |
| Predicate | associatedRegionOfOperations |
P6665
|
FINISHED |
| Object | Latin America |
—
|
NE NERFINISHED |
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: Latin America | Statement: [The Quiet Professionals, associatedRegionOfOperations, Latin America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedRegionOfOperations Context triple: [The Quiet Professionals, associatedRegionOfOperations, Latin America]
-
A.
operatedInRegion
chosen
Indicates that an entity conducted operations or activities within a specified geographic region.
-
B.
operatesToRegion
Indicates that an agent conducts operations or provides services directed toward or within a specified region.
-
C.
operatedByRegion
Indicates that an entity is managed, controlled, or administered by a specific geographic region or regional authority.
-
D.
operatesBetweenRegion
Indicates a relationship in which an entity conducts operations or provides services that connect or span between two distinct regions.
-
E.
associatedRegionFeature
Indicates that something is linked or connected to a particular geographic or regional feature.
- 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_69ef5382b9648190be0b1ef2ad5d043c |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fffc783b648190bcd7df017514d206 |
completed | May 10, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69fffc03fa24819099e12413dc6e0afd |
completed | May 10, 2026, 3:31 a.m. |
Created at: April 27, 2026, 1:07 p.m.