Triple

T3390966
Position Surface form Disambiguated ID Type / Status
Subject Hayam Wuruk E71415 entity
Predicate territorialExtent P8868 FINISHED
Object Sumatra (parts) 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 (parts) | Statement: [Hayam Wuruk, territorialExtent, Sumatra (parts)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sumatra (parts)
Context triple: [Hayam Wuruk, territorialExtent, Sumatra (parts)]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Sumatrakade
    Sumatrakade is a street on Java Island in Amsterdam, known for its modern waterfront residential architecture along the IJ.
  • E. 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.
  • 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_69ad85a9c4a88190a854019341cb3b60 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb6682c708190b76a7a16cee7c5aa completed March 8, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3345a95ac819098be25233b8e0ed5 completed March 12, 2026, 9:47 p.m.
Created at: March 8, 2026, 3:14 p.m.