Triple

T13650098
Position Surface form Disambiguated ID Type / Status
Subject Finnfast subsea tunnel E326708 entity
Predicate connectsTo P845 FINISHED
Object Ladstein E1053879 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: Ladstein | Statement: [Finnfast subsea tunnel, connectsTo, Ladstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ladstein
Context triple: [Finnfast subsea tunnel, connectsTo, Ladstein]
  • A. Ladstein chosen
    Ladstein is a small Norwegian island located in Rogaland county, known for its rural landscape and proximity to the island of Talgje.
  • B. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • C. Badeloch
    Badeloch is a central female character in Joost van den Vondel’s Dutch play "Gijsbrecht van Aemstel," known as the loyal and tragic wife of the title hero.
  • D. Störnstein
    Störnstein is a small municipality in the Upper Palatinate region of Bavaria, Germany.
  • E. Haldenstein
    Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc608466c81908f6d2c9c92cc86aa completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7943610488190838719ad31207c52 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:52 p.m.