Triple

T10698347
Position Surface form Disambiguated ID Type / Status
Subject Northern Massachusetts E252203 entity
Predicate hasCity P316 FINISHED
Object Lawrence
Lawrence is an industrial city in northern Massachusetts historically known as a major textile manufacturing center and a hub for immigrant communities.
 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: [Northern Massachusetts, hasCity, Lawrence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lawrence
Context triple: [Northern Massachusetts, hasCity, Lawrence]
  • A. Lawrence
    Lawrence is a city located within Marion County in the U.S. state of Indiana.
  • 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 masculine given name of English origin, derived from the Latin "Laurentius" meaning "from Laurentum" or "crowned with laurel."
  • D. Lawrence
    Lawrence is a college town in northeastern Kansas best known as the home of the University of Kansas and its athletic programs.
  • E. Lawrence
    Lawrence is a small rural village in the Clarence Valley region of New South Wales, Australia, known for its historic charm and riverside setting on the Clarence River.
  • 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: [Northern Massachusetts, hasCity, Lawrence]
Generated description
Lawrence is an industrial city in northern Massachusetts historically known as a major textile manufacturing center and a hub for immigrant communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lawrence
Target entity description: Lawrence is an industrial city in northern Massachusetts historically known as a major textile manufacturing center and a hub for immigrant communities.
  • A. Lawrence chosen
    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 a college town in northeastern Kansas best known as the home of the University of Kansas and its athletic programs.
  • C. Lawrence
    Lawrence is a city located within Marion County in the U.S. state of Indiana.
  • D. Lawrence
    Lawrence is a small historic gold-mining town in New Zealand’s Otago region.
  • E. Lawrence
    Lawrence is a small rural village in the Clarence Valley region of New South Wales, Australia, known for its historic charm and riverside setting on the Clarence River.
  • F. None of above.

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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd8a03848190bf68dd470bee103a completed April 9, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998e447e0819098e839e9e121a21f completed April 11, 2026, 12:42 a.m.
NEDg Description generation batch_69d99e8534688190b312b737e0b9cd53 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69dadcb861a08190bb9f64a91117f35d completed April 11, 2026, 11:43 p.m.
Created at: April 8, 2026, 9:12 p.m.