Triple

T1787416
Position Surface form Disambiguated ID Type / Status
Subject Shakira E39422 entity
Predicate notableWork P4 FINISHED
Object El Dorado E50407 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: El Dorado | Statement: [Shakira, notableWork, El Dorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Dorado
Context triple: [Shakira, notableWork, El Dorado]
  • A. El Dorado (legendary city of gold) chosen
    El Dorado is a legendary South American city or kingdom of immense wealth, famed in myth and exploration lore as a place rich in gold and precious treasures.
  • B. La Dorada
    La Dorada is a major riverside city in central Colombia known for its hot climate and strategic location along the Magdalena River.
  • C. Eldorado
    Eldorado is a casino and hospitality brand associated with Caesars Entertainment, known for its gaming resorts and entertainment properties.
  • D. Marulanda
    Marulanda is a small municipality and town located in the Caldas Department of Colombia, known for its rural Andean landscapes and agricultural economy.
  • E. Kerepakupai Merú
    Kerepakupai Merú is the indigenous Pemon name for Angel Falls, the world’s highest uninterrupted waterfall located in Venezuela.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa650ea238819093a15df6f9d73e2d completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9a66da8819085867355c174adce completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:32 p.m.