Triple
T32187440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TRZ |
E822143
|
entity |
| Predicate | associatedCompanyRegionOfOperations |
P194797
|
FINISHED |
| Object | North America |
E335
|
NE 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: North America | Statement: [TRZ, associatedCompanyRegionOfOperations, North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCompanyRegionOfOperations Context triple: [TRZ, associatedCompanyRegionOfOperations, North America]
-
A.
hasHeadquartersInRegion
Indicates that an organization’s main administrative or corporate headquarters is located within a specified geographic region.
-
B.
operatedInRegion
Indicates that an entity conducted operations or activities within a specified geographic region.
-
C.
associatedCompanyGlobalScope
Indicates that there is a relationship linking an entity to a company at a global (worldwide) organizational scope.
-
D.
operatesToRegion
Indicates that an agent conducts operations or provides services directed toward or within a specified region.
-
E.
associatedRegions
chosen
Indicates that there is a relevant connection or linkage between an entity and one or more geographic or administrative regions.
- F. None of above.
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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2f0bbd701481908dbaa5395cfcfd3f |
completed | June 14, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:35 a.m.