Triple

T1828212
Position Surface form Disambiguated ID Type / Status
Subject Hamina-class missile boat E40700 entity
Predicate builder P3143 FINISHED
Object Finnyards
Finnyards is a Finnish shipbuilding company known for constructing naval vessels and other specialized ships.
E203332 NE FINISHED

How this triple was built (4 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: Finnyards | Statement: [Hamina-class missile boat, builder, Finnyards]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Finnyards
Context triple: [Hamina-class missile boat, builder, Finnyards]
  • A. Filey
    Filey is a small seaside town and former fishing village on the North Sea coast of North Yorkshire, England, known for its long sandy beach and traditional holiday resort character.
  • B. Rockwood
    Rockwood is a small city in eastern Tennessee that forms part of the Knoxville metropolitan area.
  • C. Parlick
    Parlick is a prominent hill in Lancashire, England, popular with walkers and paragliders and known for its sweeping views over the Forest of Bowland.
  • D. Grove
    Grove is a surname most prominently associated with Andrew S. Grove, the influential engineer and former CEO of Intel who helped shape the modern semiconductor industry.
  • E. Tackley
    Tackley is a rural village in Oxfordshire, England, known for its traditional English countryside setting and historic character.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Finnyards
Triple: [Hamina-class missile boat, builder, Finnyards]
Generated description
Finnyards is a Finnish shipbuilding company known for constructing naval vessels and other specialized ships.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Finnyards
Target entity description: Finnyards is a Finnish shipbuilding company known for constructing naval vessels and other specialized ships.
  • A. Filey
    Filey is a small seaside town and former fishing village on the North Sea coast of North Yorkshire, England, known for its long sandy beach and traditional holiday resort character.
  • B. Rockwood
    Rockwood is a small city in eastern Tennessee that forms part of the Knoxville metropolitan area.
  • C. Parlick
    Parlick is a prominent hill in Lancashire, England, popular with walkers and paragliders and known for its sweeping views over the Forest of Bowland.
  • D. Grove
    Grove is a surname most prominently associated with Andrew S. Grove, the influential engineer and former CEO of Intel who helped shape the modern semiconductor industry.
  • E. Tackley
    Tackley is a rural village in Oxfordshire, England, known for its traditional English countryside setting and historic character.
  • F. None of above. chosen

Provenance (5 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb01191208190a7eaf3036638ec40 completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf6b4bdc8190b53dbdc9c31e3685 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc07fff60819092b10dd0e417ac5a completed March 8, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69adc0fd79c48190864f53a90517edc6 completed March 8, 2026, 6:33 p.m.
Created at: March 4, 2026, 7:32 p.m.