Triple

T2710601
Position Surface form Disambiguated ID Type / Status
Subject Waterloo, Iowa E59849 entity
Predicate hasMajorEmployer P588 FINISHED
Object John Deere
John Deere is a leading American manufacturer of agricultural, construction, and forestry machinery, best known for its green and yellow farm equipment.
 E290412 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: John Deere | Statement: [Waterloo, Iowa, hasMajorEmployer, John Deere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Deere
Context triple: [Waterloo, Iowa, hasMajorEmployer, John Deere]
  • A. New Holland
    New Holland is the fictional, retro-styled American suburb that serves as the primary setting for Tim Burton’s animated film "Frankenweenie."
  • B. New Holland
    New Holland was the name given by the Dutch to their 17th-century colonial possessions in northeastern Brazil, known historically as Dutch Brazil.
  • C. Deering
    Deering is a small Inupiat community and city located on the Seward Peninsula in northwestern Alaska.
  • D. Toro
    Toro is the bull mascot representing California State University, Dominguez Hills at its athletic events and campus activities.
  • E. Toro
    Toro is the official bull-themed mascot of the NFL's Houston Texans, known for entertaining fans at games and team events.
  • 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: John Deere
Triple: [Waterloo, Iowa, hasMajorEmployer, John Deere]
Generated description
John Deere is a leading American manufacturer of agricultural, construction, and forestry machinery, best known for its green and yellow farm equipment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Deere
Target entity description: John Deere is a leading American manufacturer of agricultural, construction, and forestry machinery, best known for its green and yellow farm equipment.
  • A. New Holland
    New Holland is the fictional, retro-styled American suburb that serves as the primary setting for Tim Burton’s animated film "Frankenweenie."
  • B. New Holland
    New Holland was the name given by the Dutch to their 17th-century colonial possessions in northeastern Brazil, known historically as Dutch Brazil.
  • C. Deering
    Deering is a small Inupiat community and city located on the Seward Peninsula in northwestern Alaska.
  • D. Toro
    Toro is the bull mascot representing California State University, Dominguez Hills at its athletic events and campus activities.
  • E. Toro
    Toro is the official bull-themed mascot of the NFL's Houston Texans, known for entertaining fans at games and team events.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda7771a4819081904bd6b818b81b completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf820e6c8190bc37219eadd57e86 completed March 10, 2026, 5:43 a.m.
NEDg Description generation batch_69afb002b86881909401e1bec24b76bf completed March 10, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69afb0e906f88190b182cbfe81122eed completed March 10, 2026, 5:49 a.m.
Created at: March 6, 2026, 9:55 p.m.