Triple

T9792741
Position Surface form Disambiguated ID Type / Status
Subject Sergio Ramírez E237642 entity
Predicate notableWork P4 FINISHED
Object Margarita, está linda la mar E66654 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: Margarita, está linda la mar | Statement: [Sergio Ramírez, notableWork, Margarita, está linda la mar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margarita, está linda la mar
Context triple: [Sergio Ramírez, notableWork, Margarita, está linda la mar]
  • A. Margarita
    Margarita is a classic tequila-based cocktail typically made with lime juice and orange liqueur, often served in a salt-rimmed glass.
  • B. Margarita chosen
    Margarita is a feminine given name of Spanish origin, equivalent to "Margaret" in English.
  • C. Mamacita
    "Mamacita" is a popular hip-hop track by Travis Scott featuring Rich Homie Quan and Young Thug, known for its moody production and melodic trap style.
  • D. La Mariquita
    "La Mariquita" is a traditional Mexican song popularized internationally through its inclusion on Linda Ronstadt’s acclaimed mariachi album *Canciones de Mi Padre*.
  • E. Que Te Vaya Mal
    "Que Te Vaya Mal" is a Latin pop song by Puerto Rican singer-songwriter Kany García, known for its emotionally charged lyrics and melodic storytelling.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda346945481908c2698a79c578ef5 completed April 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c4368da88190a70e93ec4d6bef93 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:28 p.m.