Triple
T7098067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Network |
E165381
|
entity |
| Predicate | hasService |
P182
|
FINISHED |
| Object |
7TWO
7TWO is an Australian free-to-air digital television channel operated by the Seven Network, featuring a mix of drama, lifestyle, reality, and classic programming.
|
E641561
|
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: 7TWO | Statement: [Seven Network, hasService, 7TWO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 7TWO Context triple: [Seven Network, hasService, 7TWO]
-
A.
TTWO
TTWO is the stock ticker symbol for Take-Two Interactive Software, a major American video game publisher known for franchises like Grand Theft Auto and NBA 2K.
-
B.
ZWEI
ZWEI is an early extensible text editor developed at MIT, notable as a precursor and influence on later Emacs implementations.
-
C.
the T
The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
-
D.
J7
J7 is a numbered junction on the M60 motorway in Greater Manchester, England, serving as an access point between the motorway and the surrounding local road network.
-
E.
T2
T2 is a Sydney Trains suburban rail service designation used for the Inner West & Leppington Line in the Sydney metropolitan network.
- 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: 7TWO Triple: [Seven Network, hasService, 7TWO]
Generated description
7TWO is an Australian free-to-air digital television channel operated by the Seven Network, featuring a mix of drama, lifestyle, reality, and classic programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 7TWO Target entity description: 7TWO is an Australian free-to-air digital television channel operated by the Seven Network, featuring a mix of drama, lifestyle, reality, and classic programming.
-
A.
TTWO
TTWO is the stock ticker symbol for Take-Two Interactive Software, a major American video game publisher known for franchises like Grand Theft Auto and NBA 2K.
-
B.
ZWEI
ZWEI is an early extensible text editor developed at MIT, notable as a precursor and influence on later Emacs implementations.
-
C.
the T
The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
-
D.
J7
J7 is a numbered junction on the M60 motorway in Greater Manchester, England, serving as an access point between the motorway and the surrounding local road network.
-
E.
T2
T2 is a passenger terminal at Berlin Brandenburg Airport that handles check-in, security, and boarding operations for departing and arriving travelers.
- 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_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.