Triple

T18602118
Position Surface form Disambiguated ID Type / Status
Subject Crow Wing County E454642 entity
Predicate hasCity P316 FINISHED
Object Emily
Emily is a small city located in Crow Wing County in central Minnesota, known for its lakes and outdoor recreation.
E1337210 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: Emily | Statement: [Crow Wing County, hasCity, Emily]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emily
Context triple: [Crow Wing County, hasCity, Emily]
  • A. Emily
    Emily Warren Roebling was a pioneering 19th-century American engineer best known for her crucial role in overseeing the completion of the Brooklyn Bridge.
  • B. Emily
    Emily is a given name commonly used in English-speaking countries, often associated with literary, historical, and contemporary cultural figures.
  • C. Emily
    "Emily" is a 2022 British biographical drama film about the life of writer Emily Brontë, starring Fionn Whitehead alongside Emma Mackey.
  • D. Emily
    Emily is the NATO reporting name for the Kawanishi H8K, a World War II-era Japanese four-engine flying boat used primarily for long-range maritime patrol and reconnaissance.
  • E. Emily
    Emily is the tragic, ghostly bride from Tim Burton’s animated film "Corpse Bride," who falls in love with Victor Van Dort in the Land of the Dead.
  • 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: Emily
Triple: [Crow Wing County, hasCity, Emily]
Generated description
Emily is a small city located in Crow Wing County in central Minnesota, known for its lakes and outdoor recreation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Emily
Target entity description: Emily is a small city located in Crow Wing County in central Minnesota, known for its lakes and outdoor recreation.
  • A. Emily
    Emily is a given name commonly used in English-speaking countries, often associated with literary, historical, and contemporary cultural figures.
  • B. Emily
    Emily is a fictional character from the romantic comedy film "The Perfect Holiday," which centers on festive romance and family dynamics during the Christmas season.
  • C. Emily
    Emily is the NATO reporting name for the Kawanishi H8K, a World War II-era Japanese four-engine flying boat used primarily for long-range maritime patrol and reconnaissance.
  • D. Emily
    Emily is the tragic, ghostly bride from Tim Burton’s animated film "Corpse Bride," who falls in love with Victor Van Dort in the Land of the Dead.
  • E. Emily
    Emily is a tragic character in Charles Dickens's novel "David Copperfield," whose life is upended by James Steerforth's betrayal and its social consequences.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54751d7ec81909efc4867f649002e completed April 19, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a052341908c8190942af250ffb1c253 completed May 14, 2026, 1:20 a.m.
NEDg Description generation batch_6a0524ccb0008190b64168842f758d46 completed May 14, 2026, 1:26 a.m.
NED2 Entity disambiguation (via description) batch_6a052567823c81908fd91cb0e9f3de7c completed May 14, 2026, 1:29 a.m.
Created at: April 10, 2026, 11:45 a.m.