Triple

T1562865
Position Surface form Disambiguated ID Type / Status
Subject Isla de la Juventud E33366 entity
Predicate largestCity P235 FINISHED
Object Nueva Gerona E177568 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: Nueva Gerona | Statement: [Isla de la Juventud, largestCity, Nueva Gerona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nueva Gerona
Context triple: [Isla de la Juventud, largestCity, Nueva Gerona]
  • A. Nueva Gerona chosen
    Nueva Gerona is the main urban center and administrative hub of Cuba’s Isla de la Juventud, known for its port, local commerce, and role in regional governance.
  • B. San Miguel
    San Miguel is an active stratovolcano in eastern El Salvador, known for its frequent eruptions and prominent conical shape within the Central American volcanic chain.
  • C. Santa Cruz del Norte
    Santa Cruz del Norte is a coastal Cuban municipality known for its rum distilleries and location between Havana and Matanzas along the island’s northern shore.
  • D. Batabanó
    Batabanó is a coastal municipality in western Cuba known for its fishing industry and ferry connections to nearby islands.
  • E. Colonia Tabacalera
    Colonia Tabacalera is a historic neighborhood in central Mexico City known for landmarks like the Monument to the Revolution and its mix of governmental, cultural, and residential spaces.
  • 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908886efc8190a630ef1e06d0d9cb completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad40217be88190ae17abcf1541ec55 completed March 8, 2026, 9:23 a.m.
Created at: March 4, 2026, 7:27 p.m.