Triple

T1195225
Position Surface form Disambiguated ID Type / Status
Subject Dutch colonial government E25653 entity
Predicate appliedToTerritory P8773 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 colonial government, appliedToTerritory, Saba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saba
Context triple: [Dutch colonial government, appliedToTerritory, 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 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.
  • D. Water Island
    Water Island is a small, largely residential and tranquil island in the Caribbean that forms part of the U.S. Virgin Islands.
  • E. Bonaire
    Bonaire is a Caribbean island and special municipality of the Netherlands, known for its exceptional marine biodiversity and world-class scuba diving and snorkeling sites.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd78f61c8190bdba2255d35a8fe4 completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae95c9bbfc81909a02cdca9c859d01 completed March 9, 2026, 9:41 a.m.
Created at: March 1, 2026, 7:46 p.m.