Triple

T3476001
Position Surface form Disambiguated ID Type / Status
Subject Kapuas River E73375 entity
Predicate hasTributary P415 FINISHED
Object Landak River E353675 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: Landak River | Statement: [Kapuas River, hasTributary, Landak River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landak River
Context triple: [Kapuas River, hasTributary, Landak River]
  • A. Landak River chosen
    The Landak River is a significant waterway in West Kalimantan, Indonesia, that flows through and helps shape the city of Pontianak.
  • B. Quevedo River
    The Quevedo River is a significant waterway in western Ecuador that flows through agricultural lowlands and supports the economy and ecosystems of Los Ríos Province.
  • C. Bayano River
    The Bayano River is one of Panama’s major rivers, flowing through the eastern part of the country and feeding into the Gulf of Panama.
  • D. Clarillo River
    The Clarillo River is a significant watercourse in central Chile that feeds into the Maipo River and supports surrounding ecosystems and agriculture.
  • E. Marquez River
    The Marquez River is a watercourse in Bolivia that serves as one of the tributaries feeding into the saline Poopó Lake on the Andean Altiplano.
  • 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb593a388190b7786190deba96ed completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69becf8388f8819090829c206f4080a2 completed March 21, 2026, 5:04 p.m.
Created at: March 8, 2026, 3:17 p.m.