Triple

T6923869
Position Surface form Disambiguated ID Type / Status
Subject Batam E160255 entity
Predicate locatedIn P40 FINISHED
Object Sumatra region E14825 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: Sumatra region | Statement: [Batam, locatedIn, Sumatra region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sumatra region
Context triple: [Batam, locatedIn, Sumatra region]
  • A. Southwestern Sumatra
    Southwestern Sumatra is a region on the Indonesian island of Sumatra known for its indigenous communities and distinctive local languages and cultures.
  • B. Sumatra chosen
    Sumatra is a large Indonesian island in western Indonesia known for its rich biodiversity, active volcanoes, and significant role in regional trade and history.
  • C. North Sumatra
    North Sumatra is a populous province on the Indonesian island of Sumatra, known for its diverse cultures, Lake Toba, and the city of Medan as its capital.
  • D. Sulawesi region
    The Sulawesi region is a large, mountainous island area in central Indonesia known for its distinctive peninsular shape, rich marine and terrestrial biodiversity, and cultural and linguistic diversity.
  • E. South Sumatra
    South Sumatra is a province in the southern part of the Indonesian island of Sumatra, known for its capital Palembang and its rich natural resources and cultural heritage.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9fea8d08190b6099a24fbac7de5 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761800804819082320a03f035f05b completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:26 p.m.