Triple

T4215212
Position Surface form Disambiguated ID Type / Status
Subject Pekanbaru E94198 entity
Predicate locatedIn P40 FINISHED
Object Riau E94198 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: Riau | Statement: [Pekanbaru, locatedIn, Riau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riau
Context triple: [Pekanbaru, locatedIn, Riau]
  • A. Riau chosen
    Riau is a resource-rich Indonesian province on the central eastern coast of Sumatra, known for its oil, gas, and palm oil industries and its strategic location along the Strait of Malacca.
  • 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. West Sumatra
    West Sumatra is an Indonesian province on the island of Sumatra known for its Minangkabau culture, distinctive architecture, and spicy Padang cuisine.
  • D. Lampung
    Lampung is a province at the southern tip of the Indonesian island of Sumatra, known for its coastal landscapes, agriculture, and proximity to the Sunda Strait.
  • E. Bengkulu
    Bengkulu is a province on the southwest coast of the Indonesian island of Sumatra, known for its Indian Ocean shoreline and colonial 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_69b3451997e08190851db4a9a588837d completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34be8ba408190baee362e5abbe75b completed March 12, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db7cdcdc81909f7b42bade322c67 completed March 14, 2026, 10:04 p.m.
Created at: March 12, 2026, 11:04 p.m.