Triple

T4530581
Position Surface form Disambiguated ID Type / Status
Subject New South Wales South Coast E106285 entity
Predicate hasBodyOfWater P1778 FINISHED
Object Moruya River E403074 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: Moruya River | Statement: [New South Wales South Coast, hasBodyOfWater, Moruya River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moruya River
Context triple: [New South Wales South Coast, hasBodyOfWater, Moruya River]
  • A. Moruya River chosen
    Moruya River is a coastal river in New South Wales, Australia, that flows through the town of Moruya before reaching the Tasman Sea.
  • B. Segama River
    The Segama River is one of the longest and most significant rivers in the Malaysian state of Sabah, known for flowing through rich rainforest and wildlife habitats in eastern Borneo.
  • C. Yasu River
    The Yasu River is a significant river in Japan’s Kansai region that flows through Shiga Prefecture and ultimately drains into Lake Biwa.
  • D. Aruwimi River
    The Aruwimi River is a significant river in the Democratic Republic of the Congo, known for flowing through dense equatorial rainforest and contributing substantially to the Congo River basin.
  • E. Mikuma River
    Mikuma River is a river in Ōita Prefecture, Japan, known for flowing through the city of Hita and for its traditional cormorant fishing and scenic riverside views.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd579ba4188190b4cef6e91772f7e5 completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf32f31ecc81909cb29b762481b08e completed March 22, 2026, 12:08 a.m.
Created at: March 20, 2026, 1:03 p.m.