Triple

T7313398
Position Surface form Disambiguated ID Type / Status
Subject Mwotlap E168149 entity
Predicate closelyRelatedTo P37 FINISHED
Object Vurës E153872 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: Vurës | Statement: [Mwotlap, closelyRelatedTo, Vurës]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vurës
Context triple: [Mwotlap, closelyRelatedTo, Vurës]
  • A. Vurës chosen
    Vurës is an Oceanic language spoken on the island of Vanua Lava in northern Vanuatu.
  • B. Tepelenë
    Tepelenë is a small town in southern Albania, known historically as the birthplace of Ottoman Albanian ruler Ali Pasha and for its strategic position near the Vjosa River.
  • C. Lushnjë
    Lushnjë is a city in central Albania known for its agricultural importance and role in the country’s political history.
  • D. Himarë
    Himarë is a coastal town in southern Albania known for its beaches, historic stone villages, and prominent role as a tourist hub on the Ionian Sea.
  • E. Kavajë
    Kavajë is a city in western Albania known for its historical role in the country’s independence movement and its proximity to the Adriatic coast.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ec02319c819096d25e3683943886 completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eeeedea88190a17cf6b83abc10d8 completed March 28, 2026, 3:08 p.m.
Created at: March 27, 2026, 3:02 p.m.