Triple

T16381622
Position Surface form Disambiguated ID Type / Status
Subject Nias people E397819 entity
Predicate culturalArea P1968 FINISHED
Object South Nias E296754 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: South Nias | Statement: [Nias people, culturalArea, South Nias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Nias
Context triple: [Nias people, culturalArea, South Nias]
  • A. Nias chosen
    Nias is a large island off the western coast of Sumatra in Indonesia, known for its unique megalithic culture, traditional villages, and world-class surfing waves.
  • B. Tidore
    Tidore is an island and historic sultanate in eastern Indonesia that was once a major center of the regional spice trade.
  • C. Samosir Island
    Samosir Island is a large volcanic island situated within Lake Toba in Indonesia, known for its Batak culture and dramatic highland scenery.
  • D. South Tapanuli Regency
    South Tapanuli Regency is an administrative region in North Sumatra, Indonesia, known as a cultural heartland of the Mandailing people and their language.
  • E. Riau Islands
    The Riau Islands are an Indonesian archipelago in the South China Sea known for their strategic location near Singapore and Malaysia, maritime trade routes, and growing tourism industry.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319dd0e0c8190812bde6a2f7d9644 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c55bba481909bca6cc17e1dfcf5 completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:08 a.m.