Triple

T4856901
Position Surface form Disambiguated ID Type / Status
Subject Magdalena Department E108558 entity
Predicate namedAfter P63 FINISHED
Object Magdalena River E170274 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: Magdalena River | Statement: [Magdalena Department, namedAfter, Magdalena River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magdalena River
Context triple: [Magdalena Department, namedAfter, Magdalena River]
  • A. Magdalena River chosen
    The Magdalena River is Colombia’s principal waterway, flowing northward through the Andes to the Caribbean Sea and serving as a vital corridor for the country’s ecology, economy, and history.
  • B. San Lorenzo River
    The San Lorenzo River is a coastal river in central California that flows through the city of Santa Cruz into the Monterey Bay.
  • C. Marta River
    The Marta River is a watercourse in central Italy that drains Lake Bolsena and flows southwest toward the Tyrrhenian Sea.
  • D. Bellós River
    The Bellós River is a mountain river in the Spanish Pyrenees, known for carving deep gorges and canyons within and around Ordesa y Monte Perdido National Park.
  • E. Angostura River
    The Angostura River is a significant Chilean watercourse that feeds into the Maipo River within the country’s central watershed.
  • 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d3f24688190b2f2b79bcde96973 completed March 20, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf9ad2f8e48190aac71e657a9e1197 completed March 22, 2026, 7:31 a.m.
Created at: March 20, 2026, 1:26 p.m.