Triple
T7365715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Wodonga |
E169863
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object |
Tawonga South
Tawonga South is a small residential locality in northeastern Victoria, Australia, situated near Mount Beauty in the alpine region.
|
E658120
|
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: Tawonga South | Statement: [City of Wodonga, hasSuburb, Tawonga South]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tawonga South Context triple: [City of Wodonga, hasSuburb, Tawonga South]
-
A.
Toukley
Toukley is a coastal town in New South Wales, Australia, situated between Tuggerah Lake and Budgewoi Lake on the Central Coast.
-
B.
West Wyalong
West Wyalong is a rural town in the Riverina region of New South Wales, Australia, known historically for gold mining and now as an agricultural and service centre.
-
C.
Cannonvale
Cannonvale is a coastal town in Queensland, Australia, situated in the Whitsunday region near the popular tourist hub of Airlie Beach.
-
D.
Tama North
Tama North is a residential suburb within the city of Tama in Tokyo, Japan, known for its planned neighborhoods and proximity to local parks and amenities.
-
E.
Tama South
Tama South is a subregion within the city of Tama in Tokyo, Japan, generally referring to its southern residential and commercial districts.
- 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: Tawonga South Triple: [City of Wodonga, hasSuburb, Tawonga South]
Generated description
Tawonga South is a small residential locality in northeastern Victoria, Australia, situated near Mount Beauty in the alpine region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tawonga South Target entity description: Tawonga South is a small residential locality in northeastern Victoria, Australia, situated near Mount Beauty in the alpine region.
-
A.
Toukley
Toukley is a coastal town in New South Wales, Australia, situated between Tuggerah Lake and Budgewoi Lake on the Central Coast.
-
B.
West Wyalong
West Wyalong is a rural town in the Riverina region of New South Wales, Australia, known historically for gold mining and now as an agricultural and service centre.
-
C.
Cannonvale
Cannonvale is a coastal town in Queensland, Australia, situated in the Whitsunday region near the popular tourist hub of Airlie Beach.
-
D.
Tama North
Tama North is a residential suburb within the city of Tama in Tokyo, Japan, known for its planned neighborhoods and proximity to local parks and amenities.
-
E.
Tama South
Tama South is a subregion within the city of Tama in Tokyo, Japan, generally referring to its southern residential and commercial districts.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f163038481909dedbffb4ae7f860 |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fab9820c8190aa8b519a0852af6e |
completed | March 28, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_69c7fbffbc7881909a5b4e877a735848 |
completed | March 28, 2026, 4:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fcb75c548190860e5488625f2f02 |
completed | March 28, 2026, 4:07 p.m. |
Created at: March 27, 2026, 3:06 p.m.