Triple

T7636197
Position Surface form Disambiguated ID Type / Status
Subject Yue E172883 entity
Predicate hasRegionOfUse P908 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: [Yue, hasRegionOfUse, Singapore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Singapore
Context triple: [Yue, hasRegionOfUse, 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_69c69952849881908fdcea7a93bfc307 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faa95e488190962c23609e0890a5 completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870c33ce081908df916d769fa84be completed March 29, 2026, 12:22 a.m.
Created at: March 27, 2026, 3:57 p.m.