Triple

T21347718
Position Surface form Disambiguated ID Type / Status
Subject Luis Peña E526383 entity
Predicate hasNearbyIsland P970 FINISHED
Object Culebrita NE NERFINISHED

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: Culebrita | Statement: [Luis Peña, hasNearbyIsland, Culebrita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Culebrita
Context triple: [Luis Peña, hasNearbyIsland, Culebrita]
  • A. Culebrita chosen
    Culebrita is a small, uninhabited cay off the coast of Culebra, Puerto Rico, known for its pristine beaches, clear waters, and historic lighthouse.
  • B. Guane
    Guane is a small town and municipality in western Cuba known for its rural character and tobacco-growing traditions.
  • C. Guane
    Guane is a small, historic village in Colombia’s Santander department, known for its preserved colonial architecture and tranquil rural atmosphere.
  • D. Culebra
    Culebra is a small Caribbean island municipality of Puerto Rico known for its pristine beaches, clear waters, and protected wildlife refuges.
  • E. Coconuco
    Coconuco is an indigenous language of Colombia belonging to the Barbacoan language family.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8ad2d01b481909d9b4813ff37905c completed April 22, 2026, 11:12 a.m.
Created at: April 16, 2026, 5 p.m.