Triple

T6785246
Position Surface form Disambiguated ID Type / Status
Subject Batam Port E155784 entity
Predicate servesCity P82 FINISHED
Object Batam E160255 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: Batam | Statement: [Batam Port, servesCity, Batam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batam
Context triple: [Batam Port, servesCity, Batam]
  • A. Batam chosen
    Batam is a major Indonesian industrial and transport hub located near Singapore, known for its free-trade zone status and rapidly growing economy.
  • 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. Pangkalpinang
    Pangkalpinang is the largest city and administrative, economic, and cultural center of Indonesia’s Bangka Belitung Islands province, located on Bangka Island.
  • D. Pekanbaru
    Pekanbaru is a major commercial and transportation hub in central Sumatra, Indonesia, known for its oil industry and rapid urban growth.
  • E. Tanjungbalai
    Tanjungbalai is a coastal city and port in northeastern Sumatra, Indonesia, known for its fishing industry and location along the Asahan River.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d28de0348190998751fd546bfd02 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c74253f9b4819099057c730237c269 completed March 28, 2026, 2:52 a.m.
Created at: March 27, 2026, 2:14 p.m.