Triple
T14894939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telenet Group |
E359846
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
TNET
TNET is the stock ticker symbol for Telenet Group, a Belgian telecommunications and entertainment services provider.
|
E1125048
|
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: TNET | Statement: [Telenet Group, tickerSymbol, TNET]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TNET Context triple: [Telenet Group, tickerSymbol, TNET]
-
A.
EETN
EETN is the ICAO airport code for Lennart Meri Tallinn Airport, the main international airport serving Tallinn, Estonia.
-
B.
Nitelink
Nitelink is Dublin’s late-night bus service network, providing after-hours public transport on key routes across the city and suburbs.
-
C.
Netze
Netze is the German name for the Noteć, a river in north-central Poland that is a tributary of the Warta.
-
D.
TEN: The Enthusiast Network
TEN: The Enthusiast Network is a media company specializing in automotive and enthusiast content across magazines, digital platforms, and events.
-
E.
R-net
R-net is a high-quality Dutch public transport network brand that unifies and standardizes premium bus, tram, metro, and train services across several regions in the Netherlands.
- 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: TNET Triple: [Telenet Group, tickerSymbol, TNET]
Generated description
TNET is the stock ticker symbol for Telenet Group, a Belgian telecommunications and entertainment services provider.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TNET Target entity description: TNET is the stock ticker symbol for Telenet Group, a Belgian telecommunications and entertainment services provider.
-
A.
EETN
EETN is the ICAO airport code for Lennart Meri Tallinn Airport, the main international airport serving Tallinn, Estonia.
-
B.
Nitelink
Nitelink is Dublin’s late-night bus service network, providing after-hours public transport on key routes across the city and suburbs.
-
C.
Netze
Netze is the German name for the Noteć, a river in north-central Poland that is a tributary of the Warta.
-
D.
TEN: The Enthusiast Network
TEN: The Enthusiast Network is a media company specializing in automotive and enthusiast content across magazines, digital platforms, and events.
-
E.
R-net
R-net is a high-quality Dutch public transport network brand that unifies and standardizes premium bus, tram, metro, and train services across several regions in the Netherlands.
- 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.