Triple

T7405915
Position Surface form Disambiguated ID Type / Status
Subject Padang Panjang E170868 entity
Predicate nickname P55 FINISHED
Object City of Rain E662376 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: City of Rain | Statement: [Padang Panjang, nickname, City of Rain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Rain
Context triple: [Padang Panjang, nickname, City of Rain]
  • A. Kota Hujan
    Kota Hujan is the popular nickname for Bogor, an Indonesian city renowned for its frequent rainfall and cool, wet climate.
  • B. Kota Hujan chosen
    Kota Hujan is a popular nickname for Padang Panjang, a small highland city in West Sumatra, Indonesia, known for its frequent rainfall and cool climate.
  • C. The Long Rain
    "The Long Rain" is a science fiction short story by Ray Bradbury, set on a perpetually storm-lashed Venus where stranded astronauts struggle to survive and retain their sanity.
  • D. O Canto da Cidade
    O Canto da Cidade is a landmark Brazilian axé music album that helped popularize the genre nationwide and established Daniela Mercury as a major star in the early 1990s.
  • E. City of Joy
    City of Joy is a 1992 drama film set in the slums of Calcutta, exploring themes of poverty, hope, and human resilience.
  • 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_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f275c6e481908b4ce9ff1e418296 completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ed79680819087a56082e968c266 completed March 28, 2026, 6:32 p.m.
Created at: March 27, 2026, 3:10 p.m.