Triple

T4053744
Position Surface form Disambiguated ID Type / Status
Subject Mataram E84644 entity
Predicate near P350 FINISHED
Object Progo River E235582 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: Progo River | Statement: [Mataram, near, Progo River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Progo River
Context triple: [Mataram, near, Progo River]
  • A. Progo River chosen
    Progo River is a major river in Central Java, Indonesia, flowing near the Borobudur Temple and eventually emptying into the Indian Ocean.
  • B. Pasimoni River
    The Pasimoni River is a tributary waterway in the Amazon Basin that feeds into the Casiquiare canal, contributing to the natural connection between the Orinoco and Amazon river systems.
  • C. Deua River
    The Deua River is a significant coastal river in southeastern New South Wales, Australia, flowing through rugged national park landscapes before joining the Moruya River system.
  • D. Turakina River
    Turakina River is a river in New Zealand’s North Island that flows through the Manawatū-Whanganui region to the South Taranaki Bight.
  • E. Palena River
    The Palena River is a remote, scenic river in southern Chile and Argentina known for its rugged Patagonian landscapes and opportunities for fishing, rafting, and other outdoor activities.
  • 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefba878a48190a2e234d775215938 completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c757f5a2f4819081f5bde51e30641a completed March 28, 2026, 4:24 a.m.
Created at: March 9, 2026, 3:37 p.m.