Triple

T14667479
Position Surface form Disambiguated ID Type / Status
Subject New Harbor E344415 entity
Predicate hasViewOf P854 FINISHED
Object Copenhagen Harbor E1078945 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: Copenhagen Harbor | Statement: [New Harbor, hasViewOf, Copenhagen Harbor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copenhagen Harbor
Context triple: [New Harbor, hasViewOf, Copenhagen Harbor]
  • A. Copenhagen harbor chosen
    Copenhagen harbor is the central waterfront and port area of Denmark’s capital, known for its historic docks, modern architecture, and popular promenades along the water.
  • B. Vesterø Havn
    Vesterø Havn is a small coastal village and ferry port on the Danish island of Læsø in the Kattegat.
  • C. Aarhus Bay
    Aarhus Bay is a coastal body of water in eastern Jutland, Denmark, forming part of the Kattegat and serving as the maritime setting for the city of Aarhus.
  • D. Vejle Harbour
    Vejle Harbour is the waterfront port area of the Danish city of Vejle, known for its mix of maritime activity, modern architecture, and urban redevelopment along Vejle Fjord.
  • E. Kolding Fjord
    Kolding Fjord is a scenic inlet of the Little Belt in southeastern Jutland, Denmark, known for its sheltered waters, natural landscapes, and the coastal city of Kolding along its shores.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54dda1c8190bf16d17e26a2bba6 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb7c7df88190a4e551a12f6e8158 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:27 a.m.