Triple

T15329713
Position Surface form Disambiguated ID Type / Status
Subject Cooma E366500 entity
Predicate region P40 FINISHED
Object Monaro
Monaro is a high, windswept plateau region in southeastern New South Wales, Australia, known for its grazing lands and proximity to the Snowy Mountains.
 E696678 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: Monaro | Statement: [Cooma, region, Monaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Monaro
Context triple: [Cooma, region, Monaro]
  • A. Monaro
    Monaro is an electoral district in the New South Wales Legislative Assembly, covering a rural and regional area in the state's southeast.
  • B. Monarcha
    Monarcha is a genus of small insectivorous passerine birds commonly known as monarch flycatchers, found mainly in Australasia and the Pacific islands.
  • C. Victorio
    Victorio was a prominent 19th-century Apache war leader known for his skilled guerrilla resistance against U.S. and Mexican forces.
  • D. Victorias
    Victorias is a city in the Philippine province of Negros Occidental known for its sugar industry and historic Victorias Milling Company.
  • E. Kaisariani
    Kaisariani is a suburban municipality of Athens, Greece, known for its historic monastery, resistance history during World War II, and proximity to Mount Hymettus.
  • 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: Monaro
Triple: [Cooma, region, Monaro]
Generated description
Monaro is a high, windswept plateau region in southeastern New South Wales, Australia, known for its grazing lands and proximity to the Snowy Mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Monaro
Target entity description: Monaro is a high, windswept plateau region in southeastern New South Wales, Australia, known for its grazing lands and proximity to the Snowy Mountains.
  • A. Monaro chosen
    Monaro is an electoral district in the New South Wales Legislative Assembly, covering a rural and regional area in the state's southeast.
  • B. Monarcha
    Monarcha is a genus of small insectivorous passerine birds commonly known as monarch flycatchers, found mainly in Australasia and the Pacific islands.
  • C. Victorio
    Victorio was a prominent 19th-century Apache war leader known for his skilled guerrilla resistance against U.S. and Mexican forces.
  • D. Victorias
    Victorias is a city in the Philippine province of Negros Occidental known for its sugar industry and historic Victorias Milling Company.
  • E. Kaisariani
    Kaisariani is a suburban municipality of Athens, Greece, known for its historic monastery, resistance history during World War II, and proximity to Mount Hymettus.
  • F. None of above.

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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0161ac8190aa1d52c063c02ad0 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ecb904819082454622dcd77556 completed May 9, 2026, 9:44 a.m.
NEDg Description generation batch_69ff03d4432c8190af9ce13c0ff70a36 completed May 9, 2026, 9:52 a.m.
NED2 Entity disambiguation (via description) batch_69ff044e01308190b2f077aecae1eece completed May 9, 2026, 9:54 a.m.
Created at: April 10, 2026, 3:17 a.m.