Triple

T18228966
Position Surface form Disambiguated ID Type / Status
Subject Bahrain Island E436492 entity
Predicate hasCity P316 FINISHED
Object Jannusan 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: Jannusan | Statement: [Bahrain Island, hasCity, Jannusan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jannusan
Context triple: [Bahrain Island, hasCity, Jannusan]
  • A. Jannusan chosen
    Jannusan is a village in Bahrain’s Northern Governorate, known as a residential community near the capital Manama.
  • B. Jauzion
    Jauzion is a French surname most notably associated with Yannick Jauzion, a former international rugby union star renowned for his play with the French national team and Stade Toulousain.
  • C. Syukuro
    Syukuro is the given name of Syukuro Manabe, a pioneering climatologist known for his foundational work on climate modeling and global warming.
  • D. Jumgal
    Jumgal is a small town in Kyrgyzstan’s mountainous Naryn Region, serving as a local center for the surrounding rural district.
  • E. Oukaimeden
    Oukaimeden is a popular ski resort and mountain destination in the High Atlas Mountains of Morocco, known for its winter sports and scenic alpine landscapes.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4b1b2108190a5585bbfaf2d295b completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:33 a.m.