Triple

T18740123
Position Surface form Disambiguated ID Type / Status
Subject Chan Sek Keong E458265 entity
Predicate memberOf P10 FINISHED
Object Singapore Bar 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: Singapore Bar | Statement: [Chan Sek Keong, memberOf, Singapore Bar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Singapore Bar
Context triple: [Chan Sek Keong, memberOf, Singapore Bar]
  • A. Singapore Bar chosen
    The Singapore Bar is the professional body that regulates and represents qualified advocates and solicitors practicing law in Singapore.
  • B. 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.
  • C. Singapore
    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.
  • D. 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.
  • E. Istana, Singapore
    Istana, Singapore is the official residence and office of the President of Singapore, set within expansive grounds in the heart of the city.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5768d6a208190817abe904fab433b completed April 20, 2026, 12:42 a.m.
Created at: April 10, 2026, 11:51 a.m.