Triple

T2898
Position Surface form Disambiguated ID Type / Status
Subject Greater Boston E54 entity
Predicate containsCity P294 FINISHED
Object Lawrence
Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
 E1810 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: [Greater Boston, containsCity, Lawrence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lawrence
Context triple: [Greater Boston, containsCity, Lawrence]
  • A. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • B. Lexington
    Lexington is a historic suburban town in Massachusetts, United States, best known as the site where the first shots of the American Revolutionary War were fired at the Battle of Lexington in 1775.
  • C. Lynn
    Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
  • D. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • E. Nelson
    Nelson is a common English-language surname borne by numerous notable figures across politics, sports, entertainment, and academia.
  • 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: [Greater Boston, containsCity, Lawrence]
Generated description
Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lawrence
Target entity description: Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • A. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • B. Lexington
    Lexington is a historic suburban town in Massachusetts, United States, best known as the site where the first shots of the American Revolutionary War were fired at the Battle of Lexington in 1775.
  • C. Lynn
    Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
  • D. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • E. Nelson
    Nelson is a common English-language surname borne by numerous notable figures across politics, sports, entertainment, and academia.
  • 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_69a2328f0e848190ac2840eaf2d5ebd2 completed Feb. 28, 2026, 12:10 a.m.
NER Named-entity recognition batch_69a234ccbac88190921bd0a15e4a7dbe completed Feb. 28, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69a248d31b848190bad943bca271fca0 completed Feb. 28, 2026, 1:45 a.m.
NEDg Description generation batch_69a2496e8d8081908224d3b8c8e9281f completed Feb. 28, 2026, 1:48 a.m.
NED2 Entity disambiguation (via description) batch_69a24a20f1608190afcf1281c34eea76 completed Feb. 28, 2026, 1:51 a.m.
Created at: Feb. 28, 2026, 12:13 a.m.