Triple
T7098070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Network |
E165381
|
entity |
| Predicate | hasService |
P182
|
FINISHED |
| Object |
7Bravo
7Bravo is an Australian free-to-air digital television channel operated by the Seven Network that primarily features entertainment and reality programming sourced from the U.S. Bravo network.
|
E65800
|
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: 7Bravo | Statement: [Seven Network, hasService, 7Bravo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 7Bravo Context triple: [Seven Network, hasService, 7Bravo]
-
A.
Brupass
Brupass is an integrated public transport ticketing system that allows seamless travel across multiple operators and modes within the Brussels metropolitan area.
-
B.
Bravo
Bravo is an American cable television network best known for its reality TV programming and pop culture–focused entertainment.
-
C.
BRA
BRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Brazil in international standards and data systems.
-
D.
BRO
BRO is the National Rail station code for Broxbourne railway station in Hertfordshire, England.
-
E.
BRO
BRO is the Border Roads Organisation, an Indian government agency responsible for constructing and maintaining roads and infrastructure in border and strategic areas.
- 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: 7Bravo Triple: [Seven Network, hasService, 7Bravo]
Generated description
7Bravo is an Australian free-to-air digital television channel operated by the Seven Network that primarily features entertainment and reality programming sourced from the U.S. Bravo network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 7Bravo Target entity description: 7Bravo is an Australian free-to-air digital television channel operated by the Seven Network that primarily features entertainment and reality programming sourced from the U.S. Bravo network.
-
A.
Brupass
Brupass is an integrated public transport ticketing system that allows seamless travel across multiple operators and modes within the Brussels metropolitan area.
-
B.
Bravo
chosen
Bravo is an American cable television network best known for its reality TV programming and pop culture–focused entertainment.
-
C.
BRA
BRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Brazil in international standards and data systems.
-
D.
BRO
BRO is the Border Roads Organisation, an Indian government agency responsible for constructing and maintaining roads and infrastructure in border and strategic areas.
-
E.
BRO
BRO is the National Rail station code for Broxbourne railway station in Hertfordshire, England.
- F. None of above.
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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5561dd08190be6b784754a0c1bc |
completed | March 27, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79ca2be7c8190b5a8c6f2c64a0d8d |
completed | March 28, 2026, 9:17 a.m. |
| NEDg | Description generation | batch_69c79d16d3408190a36ab53d5d202e15 |
completed | March 28, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c79dc7d7d8819097e423ef70b03040 |
completed | March 28, 2026, 9:22 a.m. |
Created at: March 27, 2026, 2:42 p.m.