Triple

T10150284
Position Surface form Disambiguated ID Type / Status
Subject Flandes E232615 entity
Predicate hasRiverPortFunction P32300 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: [Flandes, hasRiverPortFunction, Magdalena River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magdalena River
Context triple: [Flandes, hasRiverPortFunction, 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec03e80c81909c813dae91c56272 completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69e58a50d0748190a429af33cdced80a completed April 20, 2026, 2:07 a.m.
Created at: March 30, 2026, 9:08 p.m.