Triple

T4415366
Position Surface form Disambiguated ID Type / Status
Subject Long Island Ducks E94956 entity
Predicate nickname P55 FINISHED
Object Ducks
Ducks are a type of waterfowl known for their webbed feet, broad bills, and frequent presence in ponds, lakes, and wetlands worldwide.
 E438337 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: Ducks | Statement: [Long Island Ducks, nickname, Ducks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ducks
Context triple: [Long Island Ducks, nickname, Ducks]
  • A. Ducks
    Ducks is the nickname for the University of Oregon’s athletic teams, most prominently its college football program.
  • B. Mallards
    Mallards is the short name for the Madison Mallards, a collegiate summer baseball team based in Madison, Wisconsin.
  • C. Muscovy duck
    The Muscovy duck is a large, hardy duck species native to Central and South America, known for its distinctive red facial caruncles and widespread use in meat and egg production.
  • D. Mallard
    Mallard is a famous British LNER Class A4 steam locomotive that holds the world speed record for steam traction, preserved today as a historic exhibit.
  • E. Canada geese
    Canada geese are large, migratory North American waterfowl known for their black heads and necks with white chinstraps, V-shaped flight formations, and loud honking calls.
  • 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: Ducks
Triple: [Long Island Ducks, nickname, Ducks]
Generated description
Ducks are a type of waterfowl known for their webbed feet, broad bills, and frequent presence in ponds, lakes, and wetlands worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ducks
Target entity description: Ducks are a type of waterfowl known for their webbed feet, broad bills, and frequent presence in ponds, lakes, and wetlands worldwide.
  • A. Ducks
    Ducks is the nickname for the University of Oregon’s athletic teams, most prominently its college football program.
  • B. Mallards
    Mallards is the short name for the Madison Mallards, a collegiate summer baseball team based in Madison, Wisconsin.
  • C. Muscovy duck
    The Muscovy duck is a large, hardy duck species native to Central and South America, known for its distinctive red facial caruncles and widespread use in meat and egg production.
  • D. Mallard
    Mallard is a famous British LNER Class A4 steam locomotive that holds the world speed record for steam traction, preserved today as a historic exhibit.
  • E. Canada geese
    Canada geese are large, migratory North American waterfowl known for their black heads and necks with white chinstraps, V-shaped flight formations, and loud honking calls.
  • 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_69b34539638c8190abfea3eb29425210 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b354eabb2481908ad10d21e1379e7f completed March 13, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f617012481908b8f1a9a1bc5efaf completed March 14, 2026, 11:58 p.m.
NEDg Description generation batch_69b5f6756da08190bb930b241cf2d5ef completed March 14, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_69b5f733c660819081c68dc3ec342e12 completed March 15, 2026, 12:02 a.m.
Created at: March 12, 2026, 11:29 p.m.