Triple

T15329672
Position Surface form Disambiguated ID Type / Status
Subject Adaminaby E366499 entity
Predicate locatedIn P40 FINISHED
Object Monaro E696678 NE FINISHED

How this triple was built (2 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: [Adaminaby, locatedIn, Monaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monaro
Context triple: [Adaminaby, locatedIn, Monaro]
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69fef8b1b2d08190a158bf65535ad750 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:17 a.m.