Triple
T10372382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estadio Tigo Manuel Ferreira |
E244415
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object |
Tigo
Tigo is a multinational telecommunications company that provides mobile, internet, and digital services across several countries in Latin America and Africa.
|
E859734
|
NE FINISHED |
How this triple was built (4 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: Tigo | Statement: [Estadio Tigo Manuel Ferreira, sponsor, Tigo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tigo Context triple: [Estadio Tigo Manuel Ferreira, sponsor, Tigo]
-
A.
Telico
Telico is a small unincorporated community located in Ellis County, Texas.
-
B.
Virgin Mobile
Virgin Mobile is a wireless communications brand offering mobile phone services in multiple countries as part of Richard Branson’s broader Virgin Group.
-
C.
Rakuten Mobile
Rakuten Mobile is a Japanese mobile network operator and telecommunications brand owned by the e-commerce company Rakuten, known for its low-cost, fully virtualized mobile network services.
-
D.
T-Mo
T-Mo is an American rapper best known as a member of the Atlanta hip hop group Goodie Mob and the larger Dungeon Family collective.
-
E.
T-Mobile US
T-Mobile US is a major American wireless network operator known for its nationwide mobile phone services and aggressive “Un-carrier” marketing strategy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tigo Triple: [Estadio Tigo Manuel Ferreira, sponsor, Tigo]
Generated description
Tigo is a multinational telecommunications company that provides mobile, internet, and digital services across several countries in Latin America and Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tigo Target entity description: Tigo is a multinational telecommunications company that provides mobile, internet, and digital services across several countries in Latin America and Africa.
-
A.
Telico
Telico is a small unincorporated community located in Ellis County, Texas.
-
B.
Virgin Mobile
Virgin Mobile is a wireless communications brand offering mobile phone services in multiple countries as part of Richard Branson’s broader Virgin Group.
-
C.
Rakuten Mobile
Rakuten Mobile is a Japanese mobile network operator and telecommunications brand owned by the e-commerce company Rakuten, known for its low-cost, fully virtualized mobile network services.
-
D.
T-Mo
T-Mo is an American rapper best known as a member of the Atlanta hip hop group Goodie Mob and the larger Dungeon Family collective.
-
E.
T-Mobile US
T-Mobile US is a major American wireless network operator known for its nationwide mobile phone services and aggressive “Un-carrier” marketing strategy.
- F. None of above. chosen
Provenance (5 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e97f8a148190bb04996132cd464a |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7956469988190b5a9b2dfe062379f |
completed | April 9, 2026, 12:02 p.m. |
| NEDg | Description generation | batch_69d798e3dba08190911fc9fec5d2c8e2 |
completed | April 9, 2026, 12:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d79a6086fc8190ab8454a216dfda8c |
completed | April 9, 2026, 12:24 p.m. |
Created at: April 6, 2026, 12:01 p.m.