Triple

T14904271
Position Surface form Disambiguated ID Type / Status
Subject Nyngan E360085 entity
Predicate nearestMajorCity P1982 FINISHED
Object Dubbo E98384 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: Dubbo | Statement: [Nyngan, nearestMajorCity, Dubbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dubbo
Context triple: [Nyngan, nearestMajorCity, Dubbo]
  • A. Dubbo chosen
    Dubbo is a regional city in New South Wales, Australia, known as an important agricultural, commercial, and transport hub in the central-west of the state.
  • B. Gezhouba
    Gezhouba is a locality on the Yangtze River in Yichang, Hubei Province, China, known primarily as the site of the Gezhouba Dam hydropower project.
  • C. Dushun
    Dushun was a 7th-century Chinese Buddhist monk traditionally regarded as the founding patriarch of the Huayan school of Mahayana Buddhism.
  • D. Buyi
    The Buyi are an ethnic minority group in southwestern China, known for their distinct Tai-related language, traditional agriculture, and rich folk customs.
  • E. Neihu
    Neihu is a district in northeastern Taipei, Taiwan, known for its technology parks, residential neighborhoods, and scenic lakeside and hillside areas.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded60cd5588190b1efecc2b220da69 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72b4e4f88190af7e859d93dbbd28 completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:12 a.m.