Triple

T172356
Position Surface form Disambiguated ID Type / Status
Subject Halve Maen E3502 entity
Predicate originalLanguageName P15 FINISHED
Object Halve Maen E3502 NE FINISHED

How this triple was built (3 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: Halve Maen | Statement: [Halve Maen, originalLanguageName, Halve Maen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halve Maen
Context triple: [Halve Maen, originalLanguageName, Halve Maen]
  • A. Halve Maen chosen
    Halve Maen was a Dutch East India Company ship best known for carrying English explorer Henry Hudson on his 1609 voyage that led to the European exploration of the river now called the Hudson River.
  • B. Bornholm
    Bornholm is a Danish island known for its rocky coastline, medieval ruins, and picturesque fishing villages in the Baltic Sea.
  • C. Gotland
    Gotland is Sweden’s largest island, located in the Baltic Sea and known for its medieval town of Visby, limestone cliffs, and rich Viking-era history.
  • D. Rügen
    Rügen is Germany’s largest island, known for its chalk cliffs, seaside resorts, and beaches along the Baltic Sea coast.
  • E. Jan Mayen
    Jan Mayen is a remote volcanic island in the Arctic Ocean administered by Norway, known for its harsh climate, military and meteorological stations, and proximity to the Mid-Atlantic Ridge.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: originalLanguageName
Context triple: [Halve Maen, originalLanguageName, Halve Maen]
  • A. originalTitleLanguage
    Indicates the language in which a work’s original title was written or expressed.
  • B. primaryLanguageOf
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • C. nativeLanguage
    Indicates the language that a person or entity originally learned and uses as their primary or first language.
  • D. hasLanguageOfOrigin
    Indicates that one entity has its origin or source in the language specified by another entity.
  • E. languageOfWorkOrName chosen
    Indicates the language in which a work is created or a name is expressed.
  • F. None of above.

Provenance (4 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a25a3f9d188190aacf5791273e2c65 completed Feb. 28, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69a35e9fb768819087282451ec8051b0 completed Feb. 28, 2026, 9:31 p.m.
PD Predicate disambiguation batch_69a25667717c8190bac5108366e2178d completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:39 a.m.