Triple

T19478615
Position Surface form Disambiguated ID Type / Status
Subject Names of Singapore E487318 entity
Predicate hasName P744 FINISHED
Object The Port of Singapore 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: The Port of Singapore | Statement: [Names of Singapore, hasName, The Port of Singapore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Port of Singapore
Context triple: [Names of Singapore, hasName, The Port of Singapore]
  • A. Port of Singapore chosen
    The Port of Singapore is one of the world’s busiest and most important maritime hubs, serving as a major global transshipment and logistics center.
  • B. Tuas Mega Port
    Tuas Mega Port is Singapore’s next-generation, fully automated container terminal complex designed to consolidate and expand the nation’s maritime cargo handling capacity.
  • C. Jurong Port
    Jurong Port is a major multi-purpose port in Singapore that handles bulk, break-bulk, and container cargo, supporting the country’s industrial and maritime activities.
  • D. Johor Port
    Johor Port is a major Malaysian seaport and logistics hub in the state of Johor, serving as a key gateway for regional and international trade.
  • 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 (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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63437b9748190a8fc6bf6b3d90918 completed April 20, 2026, 2:12 p.m.
Created at: April 10, 2026, 1:39 p.m.