Triple

T6780224
Position Surface form Disambiguated ID Type / Status
Subject Fort de Kock E155659 entity
Predicate region P40 FINISHED
Object Central Sumatra E417632 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: Central Sumatra | Statement: [Fort de Kock, region, Central Sumatra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Sumatra
Context triple: [Fort de Kock, region, Central Sumatra]
  • A. central Sumatra chosen
    Central Sumatra is a region in the middle of Indonesia’s Sumatra Island known for its mix of urban centers, tropical forests, and resource-rich landscapes.
  • B. 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.
  • C. Southwestern Sumatra
    Southwestern Sumatra is a region on the Indonesian island of Sumatra known for its indigenous communities and distinctive local languages and cultures.
  • D. 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.
  • E. Sumatra
    Sumatra is a large Indonesian island in western Indonesia known for its rich biodiversity, active volcanoes, and significant role in regional trade and history.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d26b32c0819093f86b1002260660 completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723c9b1cc81908f38f203acb86002 completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:14 p.m.