Triple
T4281673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tumut River |
E97163
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Blowering
Blowering is a locality in New South Wales, Australia, best known for the nearby Blowering Dam and its role in regional hydroelectric power generation and water storage.
|
E426248
|
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: Blowering | Statement: [Tumut River, flowsThrough, Blowering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blowering Context triple: [Tumut River, flowsThrough, Blowering]
-
A.
Eyebroughy
Eyebroughy is a small rocky islet in the Firth of Forth, Scotland, known as a protected bird sanctuary and notable feature of the coastal landscape near North Berwick.
-
B.
Sweffling
Sweffling is a small rural village and civil parish in the English county of Suffolk, known for its historic church and agricultural surroundings.
-
C.
Bloomy
Bloomy is an informal nickname commonly used to refer to the city of Bloomington, Indiana.
-
D.
Flahooley
Flahooley is a 1951 satirical Broadway musical known for its sharp political commentary and score by composer Sammy Fain with lyrics by E. Y. Harburg.
-
E.
Blagg
Blagg is a variant form of the surname "Black," typically arising as an alternative spelling in English-speaking regions.
- 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: Blowering Triple: [Tumut River, flowsThrough, Blowering]
Generated description
Blowering is a locality in New South Wales, Australia, best known for the nearby Blowering Dam and its role in regional hydroelectric power generation and water storage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blowering Target entity description: Blowering is a locality in New South Wales, Australia, best known for the nearby Blowering Dam and its role in regional hydroelectric power generation and water storage.
-
A.
Eyebroughy
Eyebroughy is a small rocky islet in the Firth of Forth, Scotland, known as a protected bird sanctuary and notable feature of the coastal landscape near North Berwick.
-
B.
Sweffling
Sweffling is a small rural village and civil parish in the English county of Suffolk, known for its historic church and agricultural surroundings.
-
C.
Bloomy
Bloomy is an informal nickname commonly used to refer to the city of Bloomington, Indiana.
-
D.
Flahooley
Flahooley is a 1951 satirical Broadway musical known for its sharp political commentary and score by composer Sammy Fain with lyrics by E. Y. Harburg.
-
E.
Blagg
Blagg is a variant form of the surname "Black," typically arising as an alternative spelling in English-speaking regions.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3503938f481909505e0a322dd2b6c |
completed | March 12, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7bb0168819082a49347fdfe0997 |
completed | March 14, 2026, 7:32 p.m. |
| NEDg | Description generation | batch_69b5b88fc3c08190acc376d3c3ccd147 |
completed | March 14, 2026, 7:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5b8eada308190809db5c4ff7eeac6 |
completed | March 14, 2026, 7:37 p.m. |
Created at: March 12, 2026, 11:07 p.m.