Triple

T15899892
Position Surface form Disambiguated ID Type / Status
Subject Puerto Francisco de Orellana E385556 entity
Predicate hasAlternativeName P39 FINISHED
Object Coca E385557 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: Coca | Statement: [Puerto Francisco de Orellana, hasAlternativeName, Coca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coca
Context triple: [Puerto Francisco de Orellana, hasAlternativeName, Coca]
  • A. Coca chosen
    Coca is a small city in Ecuador that serves as a key gateway to the Amazon rainforest and regional oil operations.
  • B. Cocaine
    Cocaine is a powerful and addictive stimulant drug derived from the coca plant, known for its euphoric effects and significant health and legal risks.
  • C. Coke
    Coke is an English aristocratic family name historically associated with prominent peers, politicians, and landowners in Britain.
  • D. Rum and Coca-Cola
    "Rum and Coca-Cola" is a popular 1944 calypso-style song, famously recorded by the Andrews Sisters, that became a major World War II–era hit.
  • E. Kola
    Kola is a small town in Russia’s Murmansk Oblast, located near the city of Murmansk on the Kola Peninsula in the far northwest of the country.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563cd2f081909404d724ecc8785a completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04f3ea08190b5581768770677e8 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.