Triple

T4990683
Position Surface form Disambiguated ID Type / Status
Subject Madeira River E112120 entity
Predicate roleInAmazon P61348 FINISHED
Object major contributor of water and sediments to the Amazon River LITERAL 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: major contributor of water and sediments to the Amazon River | Statement: [Madeira River, roleInAmazon, major contributor of water and sediments to the Amazon River]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInAmazon
Context triple: [Madeira River, roleInAmazon, major contributor of water and sediments to the Amazon River]
  • A. roleInvolves
    Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
  • B. designedRole
    Indicates that one entity has been created, configured, or intended to serve a particular function, purpose, or role in relation to another entity.
  • C. typicalRole
    Indicates that one entity serves as the usual, characteristic, or commonly expected role or function of another entity.
  • D. roleInDialogue
    Indicates that an entity participates in a dialogue with a specific conversational role (e.g., speaker, listener, moderator) relative to other participants.
  • E. roleInText
    Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
  • F. None of above. chosen

Provenance (4 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_69bd441be7bc8190b530362d427b97d2 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74249a8c8190952680aee06a9286 completed March 20, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69bd71492dec8190af4c27a3043b35cc completed March 20, 2026, 4:09 p.m.
PDg Predicate description generation batch_69bd742311bc8190be016cac6cebd15d completed March 20, 2026, 4:21 p.m.
Created at: March 20, 2026, 1:34 p.m.