Triple

T3386348
Position Surface form Disambiguated ID Type / Status
Subject Namoi River catchment E71311 entity
Predicate hasTributary P415 FINISHED
Object Mooki River E676885 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: Mooki River | Statement: [Namoi River catchment, hasTributary, Mooki River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mooki River
Context triple: [Namoi River catchment, hasTributary, Mooki River]
  • A. Mooki River chosen
    The Mooki River is a watercourse in New South Wales, Australia, that drains the Liverpool Plains and forms part of the Namoi River catchment within the Murray–Darling Basin.
  • B. Merkys River
    The Merkys River is a significant river in southern Lithuania and northeastern Belarus, known for its scenic valleys and role in regional ecosystems before joining the Neman.
  • C. Warta River
    The Warta River is a major river in western and central Poland, flowing through cities such as Poznań before joining the Oder River.
  • D. Metuje River
    The Metuje River is a river in northeastern Bohemia that flows through the Hradec Králové Region of the Czech Republic, contributing to its local landscape and ecosystems.
  • E. Korang River
    Korang River is a stream in Pakistan that serves as a primary inflow to Rawal Lake near Islamabad.
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb662d190819085b211dac85a83b2 completed March 8, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9251db3388190b8b0ac7549647887 completed March 29, 2026, 1:11 p.m.
Created at: March 8, 2026, 3:14 p.m.