Triple
T29100183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NII Holdings |
E736617
|
entity |
| Predicate | notableBrandUsage |
P151324
|
FINISHED |
| Object | Nextel brand in Latin American markets |
—
|
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: Nextel brand in Latin American markets | Statement: [NII Holdings, notableBrandUsage, Nextel brand in Latin American markets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableBrandUsage Context triple: [NII Holdings, notableBrandUsage, Nextel brand in Latin American markets]
-
A.
notableBrandElement
Indicates that one entity is a significant or distinguishing brand-related feature, component, or asset of another entity.
-
B.
brandNameUsedIn
chosen
Indicates that a particular brand name is used or appears within a specified context, such as a product, document, or communication.
-
C.
usedBrandOf
Indicates that one entity made use of or operated an item, product, or service associated with a particular brand.
-
D.
usedBrand
Indicates that an entity has utilized, applied, or operated a particular brand in some context.
-
E.
usedOnBrand
Indicates that something (such as a product, material, or element) is applied to, associated with, or utilized in connection with a particular brand.
- 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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_6a02efcb13248190a0bef09ba7869ada |
completed | May 12, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_6a024995e1d081908783ca294d1397c3 |
completed | May 11, 2026, 9:26 p.m. |
Created at: April 28, 2026, 11:11 a.m.