Triple

T4215210
Position Surface form Disambiguated ID Type / Status
Subject Riau E94198 entity
Predicate capital P234 FINISHED
Object Pekanbaru E89869 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: Pekanbaru | Statement: [Riau, capital, Pekanbaru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pekanbaru
Context triple: [Riau, capital, Pekanbaru]
  • A. Pekanbaru chosen
    Pekanbaru is a major commercial and transportation hub in central Sumatra, Indonesia, known for its oil industry and rapid urban growth.
  • B. Tanjung Pinang
    Tanjung Pinang is a coastal city in Indonesia located on Bintan Island, known as an administrative and commercial hub in the Riau Islands province.
  • C. Padang
    Padang is a major coastal city in western Indonesia known as the capital of West Sumatra and a cultural and culinary center of the Minangkabau people.
  • D. Batam
    Batam is a major Indonesian industrial and transport hub located near Singapore, known for its free-trade zone status and rapidly growing economy.
  • E. Medan
    Medan is a minor biblical figure mentioned in the Book of Genesis as one of the sons of Abraham by his wife Keturah.
  • 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_69b5b76f07b4819097b59868af43b611 completed March 14, 2026, 7:30 p.m.
Created at: March 12, 2026, 11:04 p.m.