Triple

T17207541
Position Surface form Disambiguated ID Type / Status
Subject Port of Pekanbaru E417639 entity
Predicate servesJurisdiction P808 FINISHED
Object Pekanbaru Municipality NE NERFINISHED

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 Municipality | Statement: [Port of Pekanbaru, servesJurisdiction, Pekanbaru Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pekanbaru Municipality
Context triple: [Port of Pekanbaru, servesJurisdiction, Pekanbaru Municipality]
  • 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. Binjai
    Binjai is a city in Indonesia located near Medan on the island of Sumatra, known as a regional trade and transit hub.
  • D. Padang Sidempuan
    Padang Sidempuan is a city in western Indonesia known as a regional center in the southern part of North Sumatra province.
  • E. Kota Sawahlunto
    Kota Sawahlunto is a historic coal-mining city in West Sumatra, Indonesia, known for its preserved colonial-era architecture and recognition as part of a UNESCO World Heritage coal mining landscape.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 10, 2026, 5:38 a.m.