Triple

T18411642
Position Surface form Disambiguated ID Type / Status
Subject Shenzhen OCT Group E441771 entity
Predicate brand P1500 FINISHED
Object OCT Harbour / OCT Bay 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: OCT Harbour / OCT Bay | Statement: [Shenzhen OCT Group, brand, OCT Harbour / OCT Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OCT Harbour / OCT Bay
Context triple: [Shenzhen OCT Group, brand, OCT Harbour / OCT Bay]
  • A. OCT Harbour chosen
    OCT Harbour is a large coastal entertainment and shopping complex in Shenzhen, China, featuring retail, dining, leisure, and cultural attractions.
  • B. Harbour City
    Harbour City is the coastal British Columbia city of Nanaimo, known for its busy port, waterfront, and maritime character.
  • C. Harbour City
    Harbour City is the nickname of Tema, a major port and industrial city on the Atlantic coast of Ghana.
  • D. OCT East
    OCT East is a large eco-themed resort and amusement complex in Shenzhen, China, featuring theme parks, hotels, golf courses, and scenic natural areas.
  • E. Marina South, Singapore
    Marina South, Singapore is a waterfront district in central Singapore known for attractions like Gardens by the Bay, Marina Bay Sands, and its prominent role in the city’s skyline and tourism.
  • 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a24e130819082b92f98d8d5fa3c completed April 19, 2026, 6:08 p.m.
Created at: April 10, 2026, 10:47 a.m.