Triple

T19555115
Position Surface form Disambiguated ID Type / Status
Subject Whaling Museum E489285 entity
Predicate nearby P350 FINISHED
Object Sandefjord harbor NE NERFINISHED

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: Sandefjord harbor | Statement: [Whaling Museum, nearby, Sandefjord harbor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandefjord harbor
Context triple: [Whaling Museum, nearby, Sandefjord harbor]
  • A. Sandefjord Harbour chosen
    Sandefjord Harbour is a coastal port area in Sandefjord, Norway, known for its maritime activities, ferry connections, and role as a local commercial and recreational waterfront.
  • B. Sandvika harbour
    Sandvika harbour is a small coastal marina and waterfront area in Sandvika, Norway, serving as a local hub for boating, recreation, and seaside activities.
  • C. Kristiansund harbor
    Kristiansund harbor is a coastal port in the town of Kristiansund, Norway, known for its sheltered natural setting and role in regional fishing, shipping, and maritime transport.
  • D. Haugesund harbor
    Haugesund harbor is a coastal port in western Norway that serves as a key maritime hub for the town of Haugesund and the surrounding region.
  • E. Egersund harbor
    Egersund harbor is a coastal port area in the town of Egersund in southwestern Norway, known for its maritime activities and fishing industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d335f888190abfc5ba974d3c65e completed April 20, 2026, 2:50 p.m.
Created at: April 10, 2026, 1:42 p.m.