Triple

T10425625
Position Surface form Disambiguated ID Type / Status
Subject Outram Campus E245777 entity
Predicate locatedIn P40 FINISHED
Object Central Area, 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 Area, Singapore | Statement: [Outram Campus, locatedIn, Central Area, Singapore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Area, Singapore
Context triple: [Outram Campus, locatedIn, Central Area, 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. 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.
  • C. Western Region of Singapore
    The Western Region of Singapore is a largely industrial and residential area of the country that includes major port, manufacturing, and logistics hubs.
  • D. 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.
  • E. 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.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea48cb348190ad4432f263300592 completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87ea554888190bf2ef31e33c0ff14 completed April 10, 2026, 4:37 a.m.
Created at: April 6, 2026, 12:12 p.m.