Triple

T1479683
Position Surface form Disambiguated ID Type / Status
Subject Nusa Tenggara E30923 entity
Predicate hasPart P35 FINISHED
Object Sumba E29821 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: Sumba | Statement: [Nusa Tenggara, hasPart, Sumba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sumba
Context triple: [Nusa Tenggara, hasPart, Sumba]
  • A. Sumba chosen
    Sumba is a rugged island in eastern Indonesia known for its traditional Marapu culture, megalithic tombs, and distinctive ikat textiles.
  • B. Southwest Sumba Regency
    Southwest Sumba Regency is a regency-level administrative region located on the island of Sumba in East Nusa Tenggara, Indonesia, known for its traditional villages, megalithic tombs, and distinctive Marapu culture.
  • C. Sumbawa
    Sumbawa is an island in central Indonesia, part of the Lesser Sunda Islands, known for its volcanic landscapes, surfing spots, and relatively low population density compared to neighboring Bali and Lombok.
  • D. Tanna
    Tanna is a volcanic island in southern Vanuatu known for its active Mount Yasur volcano and traditional kastom villages.
  • E. Toraja
    The Toraja are an indigenous ethnic group of the mountainous region of South Sulawesi, Indonesia, renowned for their elaborate funeral rites, distinctive tongkonan houses, and intricate wood carvings.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c674cc9c819088fc9146c7a7a914 completed March 1, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69adfb8d636c8190a8a9ca29d8a6fd82 completed March 8, 2026, 10:43 p.m.
Created at: March 1, 2026, 8:11 p.m.