Triple

T7584457
Position Surface form Disambiguated ID Type / Status
Subject Little Ships of Dunkirk E179571 entity
Predicate notableExample P1503 FINISHED
Object Tamzine
Tamzine is a small British fishing boat famed for taking part in the 1940 Dunkirk evacuation as one of the celebrated "Little Ships."
 E674452 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: Tamzine | Statement: [Little Ships of Dunkirk, notableExample, Tamzine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tamzine
Context triple: [Little Ships of Dunkirk, notableExample, Tamzine]
  • A. Zayton
    Zayton is the historical name used by medieval Arab and European traders for the major Chinese port city of Quanzhou, once one of the world’s busiest maritime trade centers.
  • B. Latimore
    Latimore is a surname most notably associated with American actor and R&B singer Jacob Latimore.
  • C. Zimeysa
    Zimeysa is a railway station in the canton of Geneva, Switzerland, serving local and regional train services on the Geneva–La Plaine line.
  • D. Ranelva
    Ranelva is a river in Nordland county, Norway, known for flowing through the town of Mo i Rana and into the Ranfjorden.
  • E. Mirzam
    Mirzam is a bright blue-white giant star in the constellation Canis Major, known as one of the prominent stars near Sirius in the winter sky.
  • 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: Tamzine
Triple: [Little Ships of Dunkirk, notableExample, Tamzine]
Generated description
Tamzine is a small British fishing boat famed for taking part in the 1940 Dunkirk evacuation as one of the celebrated "Little Ships."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tamzine
Target entity description: Tamzine is a small British fishing boat famed for taking part in the 1940 Dunkirk evacuation as one of the celebrated "Little Ships."
  • A. Zayton
    Zayton is the historical name used by medieval Arab and European traders for the major Chinese port city of Quanzhou, once one of the world’s busiest maritime trade centers.
  • B. Latimore
    Latimore is a surname most notably associated with American actor and R&B singer Jacob Latimore.
  • C. Zimeysa
    Zimeysa is a railway station in the canton of Geneva, Switzerland, serving local and regional train services on the Geneva–La Plaine line.
  • D. Ranelva
    Ranelva is a river in Nordland county, Norway, known for flowing through the town of Mo i Rana and into the Ranfjorden.
  • E. Mirzam
    Mirzam is a bright blue-white giant star in the constellation Canis Major, known as one of the prominent stars near Sirius in the winter sky.
  • 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_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f993cd0c8190864f801074625a32 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861812e08819097fd14fe2b8fee13 completed March 28, 2026, 11:17 p.m.
NEDg Description generation batch_69c862466fd481908ea5772e76a88d95 completed March 28, 2026, 11:20 p.m.
NED2 Entity disambiguation (via description) batch_69c862cae0448190859a07db338e1de7 completed March 28, 2026, 11:22 p.m.
Created at: March 27, 2026, 3:52 p.m.