Triple
T11824874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nine Entertainment Co. |
E281232
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object |
3AW
3AW is a Melbourne-based commercial talkback radio station known for its news, current affairs, and sports coverage.
|
E948497
|
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: 3AW | Statement: [Nine Entertainment Co., owns, 3AW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 3AW Context triple: [Nine Entertainment Co., owns, 3AW]
-
A.
AWAE
AWAE (Advanced Web Attacks and Exploitation) is an advanced web application penetration testing and exploitation course focused on teaching in-depth offensive security techniques to experienced security professionals.
-
B.
AW
AW is a German vehicle registration code associated with the district that includes the town of Remagen in the state of Rhineland-Palatinate.
-
C.
AW
AW is the standard abbreviation for Atlantic Water, the relatively warm, salty water mass originating in the North Atlantic that influences ocean circulation and Arctic climate.
-
D.
AW
AW is the two-letter ISO 3166-1 alpha-2 country code assigned to Aruba.
-
E.
AWA
AWA is the commonly used abbreviation for the Animal Welfare Act, the primary U.S. federal law regulating the treatment of animals in research, exhibition, transport, and by dealers.
- 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: 3AW Triple: [Nine Entertainment Co., owns, 3AW]
Generated description
3AW is a Melbourne-based commercial talkback radio station known for its news, current affairs, and sports coverage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 3AW Target entity description: 3AW is a Melbourne-based commercial talkback radio station known for its news, current affairs, and sports coverage.
-
A.
AWAE
AWAE (Advanced Web Attacks and Exploitation) is an advanced web application penetration testing and exploitation course focused on teaching in-depth offensive security techniques to experienced security professionals.
-
B.
AW
AW is a German vehicle registration code associated with the district that includes the town of Remagen in the state of Rhineland-Palatinate.
-
C.
AW
AW is the standard abbreviation for Atlantic Water, the relatively warm, salty water mass originating in the North Atlantic that influences ocean circulation and Arctic climate.
-
D.
AW
AW is the two-letter ISO 3166-1 alpha-2 country code assigned to Aruba.
-
E.
AWA
AWA is the commonly used abbreviation for the Animal Welfare Act, the primary U.S. federal law regulating the treatment of animals in research, exhibition, transport, and by dealers.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5eb299481909de3c0e85628fbe4 |
completed | April 10, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f132062b108190ad33656c386ee603 |
completed | April 28, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_69f14e8ada3481908ec456c41827160c |
completed | April 29, 2026, 12:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f1571e4ba08190824db812ffc5f35a |
completed | April 29, 2026, 12:55 a.m. |
Created at: April 8, 2026, 9:43 p.m.