Triple

T14109586
Position Surface form Disambiguated ID Type / Status
Subject DSB E339598 entity
Predicate primaryAreaServed P82 FINISHED
Object Zealand E848388 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: Zealand | Statement: [DSB, primaryAreaServed, Zealand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zealand
Context triple: [DSB, primaryAreaServed, Zealand]
  • A. Zealand
    Zealand is the largest and most populous island of Denmark, home to the capital city Copenhagen and a central hub of the country’s cultural and economic life.
  • B. Vestland
    Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
  • C. island of Zealand chosen
    The island of Zealand is Denmark’s largest and most populous island, home to the capital city Copenhagen and a central hub of the country’s cultural, economic, and political life.
  • D. Skåneland
    Skåneland is a historical region in southern Scandinavia encompassing the provinces around present-day Skåne, known for its shifting rule between Denmark and Sweden and its central role in medieval Nordic history.
  • E. Das Island
    Das Island is a small but strategically important offshore island in the Persian Gulf that serves as a major oil and gas processing and export hub for the United Arab Emirates.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600caf308190ab6d8451ed4e3797 completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3243360c819084a524af2e452863 completed May 8, 2026, 12:45 a.m.
Created at: April 9, 2026, 10:22 p.m.