Triple
T709395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Australia |
E14171
|
entity |
| Predicate | containsRegion |
P285
|
FINISHED |
| Object |
South West
South West is a coastal region in the southwestern corner of Western Australia known for its forests, wineries, and popular tourist towns.
|
E84473
|
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: South West | Statement: [Western Australia, containsRegion, South West]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South West Context triple: [Western Australia, containsRegion, South West]
-
A.
West Region
The West Region is one of the four geographic brackets used to organize teams and games in the NCAA Division I Men’s Basketball Tournament.
-
B.
Southeastern
Southeastern is a British train operating company that runs passenger rail services across southeast London and the counties of Kent and East Sussex.
-
C.
South Region
The South Region is one of the four geographic brackets used to organize teams and games in the NCAA Division I Men’s Basketball Tournament.
-
D.
SOUTHWEST
SOUTHWEST is the air traffic control callsign used by Southwest Airlines, a major U.S. low-cost carrier.
-
E.
North East
North East is a rural town in northeastern Dutchess County, New York, known for its agricultural landscape and the village of Millerton.
- 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: South West Triple: [Western Australia, containsRegion, South West]
Generated description
South West is a coastal region in the southwestern corner of Western Australia known for its forests, wineries, and popular tourist towns.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: South West Target entity description: South West is a coastal region in the southwestern corner of Western Australia known for its forests, wineries, and popular tourist towns.
-
A.
West Region
The West Region is one of the four geographic brackets used to organize teams and games in the NCAA Division I Men’s Basketball Tournament.
-
B.
Southeastern
Southeastern is a British train operating company that runs passenger rail services across southeast London and the counties of Kent and East Sussex.
-
C.
South Region
The South Region is one of the four geographic brackets used to organize teams and games in the NCAA Division I Men’s Basketball Tournament.
-
D.
SOUTHWEST
SOUTHWEST is the air traffic control callsign used by Southwest Airlines, a major U.S. low-cost carrier.
-
E.
North East
North East is a rural town in northeastern Dutchess County, New York, known for its agricultural landscape and the village of Millerton.
- 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a55b63988190837e71fcdf3e39a6 |
completed | March 1, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dcb3452c8190a150b4a182807813 |
completed | March 2, 2026, 6:53 p.m. |
| NEDg | Description generation | batch_69a5dfca43a08190b3e8a13284163822 |
completed | March 2, 2026, 7:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5ff271e288190a9932832609c3c3d |
completed | March 2, 2026, 9:20 p.m. |
Created at: March 1, 2026, 7:36 p.m.