Triple

T32181302
Position Surface form Disambiguated ID Type / Status
Subject Balingoan E821987 entity
Predicate hasMaritimeTransport P76343 FINISHED
Object roll-on/roll-off ferries 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: roll-on/roll-off ferries | Statement: [Balingoan, hasMaritimeTransport, roll-on/roll-off ferries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMaritimeTransport
Context triple: [Balingoan, hasMaritimeTransport, roll-on/roll-off ferries]
  • A. hasMaritimeConnection chosen
    Indicates a relationship in which an entity is linked to seas, oceans, or maritime activities, such as shipping, navigation, or coastal operations.
  • B. isMaritimeRoute
    Indicates that one location is connected to another by a navigable sea or ocean route used for maritime transport.
  • C. hasFerryComponent
    Indicates that something includes or is associated with a ferry-related part, feature, or segment within its structure or operation.
  • D. hasSeaRouteConnection
    Indicates that there exists a navigable maritime route linking two locations or entities.
  • E. hasMaritimeFeature
    Indicates that one entity possesses, contains, or is characterized by a maritime-related feature such as a sea, coast, harbor, or other oceanic element.
  • 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_69f3490755288190aee11740a34862f9 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a007dd341108190a1d03eab46041694 completed May 10, 2026, 12:45 p.m.
PD Predicate disambiguation batch_6a007b1fe2a881909ec50a1e65e4651b completed May 10, 2026, 12:33 p.m.
Created at: May 1, 2026, 12:34 a.m.