Triple

T7508602
Position Surface form Disambiguated ID Type / Status
Subject Tuas E177456 entity
Predicate contains P35 FINISHED
Object Tuas South E177456 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: Tuas South | Statement: [Tuas, contains, Tuas South]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuas South
Context triple: [Tuas, contains, Tuas South]
  • A. Tuas chosen
    Tuas is an industrial and port area at the western tip of Singapore, known for its heavy industries, container terminals, and land reclamation projects.
  • B. Marina East, Singapore
    Marina East, Singapore is a reclaimed coastal planning area and parkland zone located along the southeastern waterfront of Singapore, featuring recreational spaces and views of the city skyline.
  • C. Tanjong Pagar Terminal
    Tanjong Pagar Terminal is a major container port facility in Singapore that historically served as one of the country’s key maritime cargo hubs.
  • D. 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.
  • E. Tuas Checkpoint
    Tuas Checkpoint is one of Singapore’s two main land border crossings into Malaysia, serving as a major immigration and customs facility for road traffic between Singapore and Johor.
  • 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5b8ab5c8190828ee8d144068828 completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856aed6c881909c909c01cbe01730 completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:45 p.m.