Triple

T9917475
Position Surface form Disambiguated ID Type / Status
Subject Saba Marine Park E185906 entity
Predicate locatedIn P40 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: [Saba Marine Park, locatedIn, Saba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saba
Context triple: [Saba Marine Park, locatedIn, Saba]
  • A. 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.
  • B. Saba
    Saba is a consumer electronics brand known for products such as televisions and audio equipment, historically popular in Europe.
  • C. 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.
  • D. 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.
  • 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb5673f108190914e0c172dddc65f completed April 2, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb12ac9c819087a182c12653792c completed April 9, 2026, 7:16 p.m.
Created at: March 30, 2026, 8:42 p.m.