Triple
T14894933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telenet Group |
E359846
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
BASE
BASE is a Belgian mobile telecommunications brand offering cellular and data services, primarily known for its competitive pricing and nationwide coverage.
|
E1125046
|
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: BASE | Statement: [Telenet Group, brand, BASE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BASE Context triple: [Telenet Group, brand, BASE]
-
A.
BASE
BASE is a physics experiment at CERN that precisely measures the properties of antiprotons to test fundamental symmetries such as CPT invariance.
-
B.
Base
Base is LibreOffice’s database management application, used to create, manage, and query databases through a graphical interface.
-
C.
Base
Base is Julia’s core standard library module that provides fundamental language functionality, built-in types, and essential operations.
-
D.
Base
Base is a sales-focused customer relationship management (CRM) platform designed to help businesses manage leads, track deals, and analyze sales performance.
-
E.
Base F
Base F is the former name of Vernadsky Research Base, a Ukrainian Antarctic research station known for its long-term scientific studies in fields such as meteorology, geology, and upper-atmosphere physics.
- 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: BASE Triple: [Telenet Group, brand, BASE]
Generated description
BASE is a Belgian mobile telecommunications brand offering cellular and data services, primarily known for its competitive pricing and nationwide coverage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BASE Target entity description: BASE is a Belgian mobile telecommunications brand offering cellular and data services, primarily known for its competitive pricing and nationwide coverage.
-
A.
BASE
BASE is a physics experiment at CERN that precisely measures the properties of antiprotons to test fundamental symmetries such as CPT invariance.
-
B.
Base
Base is Julia’s core standard library module that provides fundamental language functionality, built-in types, and essential operations.
-
C.
Base
Base is a sales-focused customer relationship management (CRM) platform designed to help businesses manage leads, track deals, and analyze sales performance.
-
D.
Base
Base is LibreOffice’s database management application, used to create, manage, and query databases through a graphical interface.
-
E.
Base F
Base F is the former name of Vernadsky Research Base, a Ukrainian Antarctic research station known for its long-term scientific studies in fields such as meteorology, geology, and upper-atmosphere physics.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded6070b248190be8f4f91a0c0b1f3 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b679fb081908cf8f41acfba3b99 |
completed | May 8, 2026, 11:01 p.m. |
| NEDg | Description generation | batch_69fe6cc2ccb0819081e32dc9d2e3973a |
completed | May 8, 2026, 11:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6d9e9a648190920206c8f75cae2e |
completed | May 8, 2026, 11:11 p.m. |
Created at: April 10, 2026, 2:10 a.m.