Triple

T6576891
Position Surface form Disambiguated ID Type / Status
Subject Basay language E157188 entity
Predicate GlottologName P6521 FINISHED
Object Basay E251855 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: Basay | Statement: [Basay language, GlottologName, Basay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basay
Context triple: [Basay language, GlottologName, Basay]
  • A. Basay chosen
    Basay is a coastal municipality in the province of Negros Oriental in the Philippines, known for its fishing industry and natural attractions.
  • B. Bayan
    Bayan is a traditional Sasak village in northern Lombok, Indonesia, known for its preserved indigenous culture, historic mosques, and role as a gateway to the Mount Rinjani area.
  • C. Fucales
    Fucales is an order of brown algae characterized by mostly marine, often large and structurally complex seaweeds that include genera such as Sargassum and Fucus.
  • D. Agus
    Agus is the given name of Haji Agus Salim, a prominent Indonesian nationalist leader, diplomat, and intellectual.
  • E. Lalakay
    Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae7399488190b5f6948c60188aec completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cba0182c8190a30bc5e6fea4680e completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:54 p.m.