Triple

T8605235
Position Surface form Disambiguated ID Type / Status
Subject Johnson Controls E203779 entity
Predicate brand P1500 FINISHED
Object Grinnell
Grinnell is a Johnson Controls brand known for its fire protection and mechanical piping products and systems.
E745590 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: Grinnell | Statement: [Johnson Controls, brand, Grinnell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grinnell
Context triple: [Johnson Controls, brand, Grinnell]
  • A. Grinnell, Iowa
    Grinnell, Iowa is a small city in central Iowa best known as the home of Grinnell College, a highly regarded liberal arts institution.
  • B. Yankton
    Yankton are a Native American group that forms one of the principal divisions of the Dakota (Sioux) people, traditionally living in the Upper Midwest region of the United States.
  • C. Iowa Falls
    Iowa Falls is a small city in central Iowa known for its scenic location along the Iowa River and historic downtown.
  • D. Leavenworth
    Leavenworth is a city in northeastern Kansas known for its historic military fort and multiple federal and state correctional facilities.
  • E. Larimore
    Larimore is a small city in eastern North Dakota, United States, known for its rural character and proximity to Grand Forks.
  • 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: Grinnell
Triple: [Johnson Controls, brand, Grinnell]
Generated description
Grinnell is a Johnson Controls brand known for its fire protection and mechanical piping products and systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grinnell
Target entity description: Grinnell is a Johnson Controls brand known for its fire protection and mechanical piping products and systems.
  • A. Grinnell, Iowa
    Grinnell, Iowa is a small city in central Iowa best known as the home of Grinnell College, a highly regarded liberal arts institution.
  • B. Yankton
    Yankton are a Native American group that forms one of the principal divisions of the Dakota (Sioux) people, traditionally living in the Upper Midwest region of the United States.
  • C. Iowa Falls
    Iowa Falls is a small city in central Iowa known for its scenic location along the Iowa River and historic downtown.
  • D. Leavenworth
    Leavenworth is a city in northeastern Kansas known for its historic military fort and multiple federal and state correctional facilities.
  • E. Larimore
    Larimore is a small city in eastern North Dakota, United States, known for its rural character and proximity to Grand Forks.
  • 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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46e9b6a881908f6a6c847519e5e5 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea900cf708190abb550f592edbdf6 completed April 2, 2026, 5:36 p.m.
NEDg Description generation batch_69cea9d23cc88190b937e89b9aa2bd66 completed April 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69ceaae76d188190932826c9fd9f7f5f completed April 2, 2026, 5:44 p.m.
Created at: March 30, 2026, 6:24 p.m.