Triple

T2711579
Position Surface form Disambiguated ID Type / Status
Subject Johor Bahru E59872 entity
Predicate crossBorderCommuting P39561 FINISHED
Object large number of daily commuters to Singapore LITERAL 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: large number of daily commuters to Singapore | Statement: [Johor Bahru, crossBorderCommuting, large number of daily commuters to Singapore]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: crossBorderCommuting
Context triple: [Johor Bahru, crossBorderCommuting, large number of daily commuters to Singapore]
  • A. hasCrossBorderCommuting chosen
    Indicates that there is a regular pattern of commuting across national borders between the related entities.
  • B. crossBorderRegion
    Indicates a region that spans or intersects the boundary between two or more distinct territorial or jurisdictional areas.
  • C. hasBorderCrossing
    Indicates that there exists a point or facility where movement or transit is possible between the boundaries of two adjacent regions or jurisdictions.
  • D. nearBorderCrossing
    Indicates that an entity is located close to a border crossing point between two regions or countries.
  • E. crossesBorderOf
    Indicates that one entity passes from one side of the boundary of another entity (typically a region or area) to the other side, traversing its border.
  • F. None of above.

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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda78c4f08190bb1217f08198c4cc completed March 7, 2026, 7:57 a.m.
PD Predicate disambiguation batch_69abd8224c688190bb4a362360b03007 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:55 p.m.