Triple

T12766852
Position Surface form Disambiguated ID Type / Status
Subject Robe wine region E305145 entity
Predicate hasMaritimeInfluence P76343 FINISHED
Object true 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: true | Statement: [Robe wine region, hasMaritimeInfluence, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMaritimeInfluence
Context triple: [Robe wine region, hasMaritimeInfluence, true]
  • A. hasMaritimeHeritage
    Indicates that an entity possesses a historical, cultural, or traditional connection to maritime activities, seafaring, or the sea.
  • B. hasMaritimeConnection chosen
    Indicates a relationship in which an entity is linked to seas, oceans, or maritime activities, such as shipping, navigation, or coastal operations.
  • C. 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.
  • D. hasNotableSea
    Indicates that an entity is associated with or contains a sea that is considered notable or significant.
  • E. maritimeExpansion
    Indicates the process by which an entity extends its influence, activities, or control over new maritime areas, routes, or territories.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df1ef148190af525532fcb0933b completed April 10, 2026, 9:38 p.m.
PD Predicate disambiguation batch_69d96409739881909174ba005a986cb5 completed April 10, 2026, 8:56 p.m.
Created at: April 9, 2026, 5:28 p.m.