Triple

T17207460
Position Surface form Disambiguated ID Type / Status
Subject BM E417637 entity
Predicate vehicleJurisdiction P7767 FINISHED
Object Pekanbaru NE NERFINISHED

How this triple was built (3 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: [BM, vehicleJurisdiction, Pekanbaru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pekanbaru
Context triple: [BM, vehicleJurisdiction, 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. Pangkalpinang
    Pangkalpinang is the largest city and administrative, economic, and cultural center of Indonesia’s Bangka Belitung Islands province, located on Bangka Island.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: vehicleJurisdiction
Context triple: [BM, vehicleJurisdiction, Pekanbaru]
  • A. legalLicenseJurisdiction
    Indicates the legal authority or geographic area under whose laws a particular license is granted, valid, or enforced.
  • B. roadTrafficRuleJurisdiction chosen
    Indicates the jurisdiction or authority under whose road traffic rules a given situation, entity, or action is governed.
  • C. legalJurisdiction
    Indicates the legal authority or geographic area whose laws and courts have the power to govern, regulate, or adjudicate matters involving the related entities.
  • D. vehicleRegistrationAuthority
    Indicates the authority or organization responsible for officially registering a vehicle and maintaining its registration records.
  • E. governmentJurisdiction
    Indicates the governmental body or authority that has legal power, control, or regulatory oversight over a given entity or activity.
  • F. None of above.

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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc283648190b2c1f957940024aa completed April 19, 2026, 1:20 a.m.
PD Predicate disambiguation batch_69e3831e354881908c5505ffd15c84e9 completed April 18, 2026, 1:11 p.m.
Created at: April 10, 2026, 5:38 a.m.