Triple

T14227669
Position Surface form Disambiguated ID Type / Status
Subject Helsingør–Helsingborg ferry E352664 entity
Predicate regionServed 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: [Helsingør–Helsingborg ferry, regionServed, Zealand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zealand
Context triple: [Helsingør–Helsingborg ferry, regionServed, 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de622a48508190bbfedb762bd1674d completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd55008a5c8190b005a12df7ef2f75 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:07 a.m.