Triple

T9474575
Position Surface form Disambiguated ID Type / Status
Subject Kalamazoo College E228480 entity
Predicate motto P42 FINISHED
Object Lux Esto
Lux Esto is the Latin motto of Kalamazoo College, traditionally translated as “Be Light.”
 E801470 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: Lux Esto | Statement: [Kalamazoo College, motto, Lux Esto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lux Esto
Context triple: [Kalamazoo College, motto, Lux Esto]
  • A. Lusser
    Lusser is a German surname most notably associated with engineer Robert Lusser, known for his contributions to aeronautics and reliability engineering.
  • B. Lusta
    Lusta is a small crofting settlement on the Waternish peninsula of the Isle of Skye in Scotland.
  • C. Laterza
    Laterza is a town and comune in the Apulia region of southern Italy, known for its historic center, traditional ceramics, and proximity to the Gravina di Laterza canyon.
  • D. Lumarzo
    Lumarzo is a small municipality in the Liguria region of northwestern Italy, located in the hilly inland area near Genoa.
  • E. Louros
    Louros is a town in northwestern Greece situated near the Louros River in the region of Epirus.
  • 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: Lux Esto
Triple: [Kalamazoo College, motto, Lux Esto]
Generated description
Lux Esto is the Latin motto of Kalamazoo College, traditionally translated as “Be Light.”
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lux Esto
Target entity description: Lux Esto is the Latin motto of Kalamazoo College, traditionally translated as “Be Light.”
  • A. Lusser
    Lusser is a German surname most notably associated with engineer Robert Lusser, known for his contributions to aeronautics and reliability engineering.
  • B. Lusta
    Lusta is a small crofting settlement on the Waternish peninsula of the Isle of Skye in Scotland.
  • C. Laterza
    Laterza is a town and comune in the Apulia region of southern Italy, known for its historic center, traditional ceramics, and proximity to the Gravina di Laterza canyon.
  • D. Lumarzo
    Lumarzo is a small municipality in the Liguria region of northwestern Italy, located in the hilly inland area near Genoa.
  • E. Louros
    Louros is a town in northwestern Greece situated near the Louros River in the region of Epirus.
  • 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_69ca847162c48190b079076c9595513c completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7ff23aec8190b5341eb9bd816a43 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122d625fc8190b8222930449ad3da completed April 4, 2026, 2:40 p.m.
NEDg Description generation batch_69d12395841c8190857de8a50ab6345c completed April 4, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_69d1275bcbd88190a5742a9cf802425a completed April 4, 2026, 2:59 p.m.
Created at: March 30, 2026, 7:54 p.m.