Triple

T3677500
Position Surface form Disambiguated ID Type / Status
Subject Dutch Caribbean E78029 entity
Predicate hasPart P35 FINISHED
Object Saba E34263 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: Saba | Statement: [Dutch Caribbean, hasPart, Saba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saba
Context triple: [Dutch Caribbean, hasPart, Saba]
  • A. Saba
    Saba is a consumer electronics brand known for products such as televisions and audio equipment, historically popular in Europe.
  • B. Saba
    Saba was an ancient South Arabian kingdom, often associated with the biblical land of Sheba, renowned for its wealth, incense trade, and advanced irrigation systems in what is now Yemen.
  • C. Saba
    Saba is an American rapper, producer, and member of Chicago’s Pivot Gang collective, known for his introspective lyrics and collaborations within the city’s hip-hop scene.
  • D. Saba chosen
    Saba is a small Caribbean island that was once a Dutch West India Company colony and is now a special municipality of the Netherlands known for its rugged volcanic terrain and marine biodiversity.
  • E. Water Island
    Water Island is a small, largely residential and tranquil island in the Caribbean that forms part of the U.S. Virgin Islands.
  • 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_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4643cf08190b2d10ddf4aac7407 completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5560a42688190b30bce9b7af10db4 completed March 14, 2026, 12:35 p.m.
Created at: March 8, 2026, 3:25 p.m.