Triple

T6203758
Position Surface form Disambiguated ID Type / Status
Subject High Court of Singapore E138698 entity
Predicate locatedIn P40 FINISHED
Object Central Region, Singapore E138699 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: Central Region, Singapore | Statement: [High Court of Singapore, locatedIn, Central Region, Singapore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Region, Singapore
Context triple: [High Court of Singapore, locatedIn, Central Region, Singapore]
  • A. Central Area, Singapore chosen
    Central Area, Singapore is the primary downtown and commercial core of Singapore, encompassing key financial, civic, and cultural districts.
  • B. Kent Ridge
    Kent Ridge is a district in southwestern Singapore best known as the hillside area that houses the main campus of the National University of Singapore.
  • C. Woodlands, Singapore
    Woodlands, Singapore is a major residential and commercial town in the northern region of Singapore, serving as a key gateway to Malaysia via the Johor–Singapore Causeway.
  • D. Sze Yup region
    The Sze Yup region is a historical area in Guangdong, China, known for its distinctive Cantonese subculture and as a major source of Chinese emigration overseas.
  • E. Jimei District
    Jimei District is an urban district of Xiamen in Fujian Province, China, known for its educational institutions, coastal scenery, and cultural heritage.
  • 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0626c23f481909d2b5b0a75c2ffff completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d9def0481909dc252d8a0ace45e completed March 24, 2026, 4:05 a.m.
Created at: March 22, 2026, 4:20 p.m.