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.