Triple

T9484185
Position Surface form Disambiguated ID Type / Status
Subject Hoklo people E228717 entity
Predicate hasDiaspora P2103 FINISHED
Object Singapore E3670 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: Singapore | Statement: [Hoklo people, hasDiaspora, Singapore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Singapore
Context triple: [Hoklo people, hasDiaspora, Singapore]
  • A. Singapore chosen
    Singapore is a sovereign city-state and island nation in Southeast Asia known for its global financial hub status, multicultural society, and highly developed, efficient infrastructure.
  • B. Singapore Bar
    The Singapore Bar is the professional body that regulates and represents qualified advocates and solicitors practicing law in Singapore.
  • C. Tuas, Singapore
    Tuas, Singapore is an industrial and port district at the western tip of Singapore, known for its heavy industries, container terminals, and land reclamation projects.
  • D. Nadi–Singapore
    Nadi–Singapore is an international flight route linking Nadi, Fiji with Singapore, serving as a key air corridor between the South Pacific and Southeast Asia.
  • E. Rochor, Singapore
    Rochor is a historic and centrally located planning area in Singapore known for its mix of traditional shophouses, cultural landmarks, and urban redevelopment.
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd804e278c8190b1f869158075cd52 completed April 1, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12cdd08c08190b9a140e2634c4cf9 completed April 4, 2026, 3:23 p.m.
Created at: March 30, 2026, 7:55 p.m.