Triple

T12158169
Position Surface form Disambiguated ID Type / Status
Subject Virgin Islands E289632 entity
Predicate hasPart P35 FINISHED
Object Culebra E2678 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: Culebra | Statement: [Virgin Islands, hasPart, Culebra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Culebra
Context triple: [Virgin Islands, hasPart, Culebra]
  • A. Culebra chosen
    Culebra is a small Caribbean island municipality of Puerto Rico known for its pristine beaches, clear waters, and protected wildlife refuges.
  • B. Rio Torto
    Rio Torto is a small Italian watercourse that serves as the natural outlet of Lake Annone in the Lombardy region.
  • C. Culebrita
    Culebrita is a small, uninhabited cay off the coast of Culebra, Puerto Rico, known for its pristine beaches, clear waters, and historic lighthouse.
  • D. Guana
    Guana is a dialect of the Terena language spoken by Indigenous communities in parts of South America.
  • E. Makushi
    The Makushi are an Indigenous people of the Guiana Shield region, primarily living in southern Guyana and northern Brazil, known for their traditional subsistence farming, rich oral traditions, and close relationship with the rainforest environment.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c277e481908351bf4e664dda42 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69e8498819080d571e6fb4edfde completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.