Triple

T8437266
Position Surface form Disambiguated ID Type / Status
Subject Verde River E199257 entity
Predicate nameMeaning P453 FINISHED
Object Green River (Spanish: Verde) E199257 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: Green River (Spanish: Verde) | Statement: [Verde River, nameMeaning, Green River (Spanish: Verde)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Green River (Spanish: Verde)
Context triple: [Verde River, nameMeaning, Green River (Spanish: Verde)]
  • A. Río Verde
    Río Verde is a sparsely populated rural commune in Chilean Patagonia, known for its sheep-farming estancias and windswept steppe landscapes along the Strait of Magellan.
  • B. Río Verde
    Río Verde is a river in southern Spain that flows through the municipality of Almuñécar in the province of Granada before reaching the Mediterranean Sea.
  • C. Venta River
    The Venta River is a major river in western Latvia and Lithuania, known for flowing through the city of Ventspils before emptying into the Baltic Sea.
  • D. Ulúa River
    The Ulúa River is a major river in northwestern Honduras that flows through fertile agricultural regions before emptying into the Caribbean Sea.
  • E. Verde River chosen
    The Verde River is a major perennial waterway in central Arizona that supports rich riparian ecosystems and recreational activities in an otherwise arid region.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe13446788190ad52a4fd6e8b498a completed March 31, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d7d19608190ad3160fc00f8d4b0 completed April 2, 2026, 7:40 a.m.
Created at: March 30, 2026, 6:08 p.m.