Triple

T2441494
Position Surface form Disambiguated ID Type / Status
Subject Kansas Jayhawks football E53285 entity
Predicate city P40 FINISHED
Object Lawrence
Lawrence is a college town in northeastern Kansas best known as the home of the University of Kansas and its athletic programs.
 E266811 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: Lawrence | Statement: [Kansas Jayhawks football, city, Lawrence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lawrence
Context triple: [Kansas Jayhawks football, city, Lawrence]
  • A. Lawrence
    Lawrence is the formal given name of Larry Ellison, the billionaire co-founder and longtime leader of Oracle Corporation.
  • B. Lawrence
    Lawrence is a city located within Marion County in the U.S. state of Indiana.
  • C. Lawrence
    Lawrence is a masculine given name of English origin, derived from the Latin "Laurentius" meaning "from Laurentum" or "crowned with laurel."
  • D. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • E. Winfield
    Winfield is a masculine given name most notably borne by 19th-century American military leader Winfield Scott.
  • 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: Lawrence
Triple: [Kansas Jayhawks football, city, Lawrence]
Generated description
Lawrence is a college town in northeastern Kansas best known as the home of the University of Kansas and its athletic programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lawrence
Target entity description: Lawrence is a college town in northeastern Kansas best known as the home of the University of Kansas and its athletic programs.
  • A. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • B. Lawrence
    Lawrence is the formal given name of Larry Ellison, the billionaire co-founder and longtime leader of Oracle Corporation.
  • C. Lawrence
    Lawrence is a city located within Marion County in the U.S. state of Indiana.
  • D. Lawrence
    Lawrence is a masculine given name of English origin, derived from the Latin "Laurentius" meaning "from Laurentum" or "crowned with laurel."
  • E. Winfield
    Winfield is a masculine given name most notably borne by 19th-century American military leader Winfield Scott.
  • 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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9f94e388190b6e49d4f7bbb6697 completed March 7, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0b3f7188190911f2db0ef2200cc completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef3752d6c8190b32d99418c0bfdc8 completed March 9, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_69aef433a83c8190b20a3a278204badd completed March 9, 2026, 4:24 p.m.
Created at: March 6, 2026, 9:43 p.m.