Triple

T779103
Position Surface form Disambiguated ID Type / Status
Subject Smith College E16455 entity
Predicate city P40 FINISHED
Object Northampton
Northampton is a small, culturally vibrant city in western Massachusetts known for its progressive community, arts scene, and historic New England character.
 E126678 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: Northampton | Statement: [Smith College, city, Northampton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Northampton
Context triple: [Smith College, city, Northampton]
  • A. Northampton
    Northampton is a historic market town and the county town of Northamptonshire in the East Midlands of England.
  • B. Ipswich
    Ipswich is a historic town and port in Suffolk, England, known as one of the country’s oldest continuously inhabited settlements.
  • C. Hertford
    Hertford is a historic market town and the county town of Hertfordshire in southern England.
  • D. Norwich
    Norwich is a historic cathedral city in Norfolk, England, known for its medieval architecture and role as a regional cultural and economic center.
  • E. Huntingdon
    Huntingdon is a parliamentary constituency in Cambridgeshire, England, best known for being represented for many years by former UK Prime Minister John Major.
  • 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: Northampton
Triple: [Smith College, city, Northampton]
Generated description
Northampton is a small, culturally vibrant city in western Massachusetts known for its progressive community, arts scene, and historic New England character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Northampton
Target entity description: Northampton is a small, culturally vibrant city in western Massachusetts known for its progressive community, arts scene, and historic New England character.
  • A. Northampton
    Northampton is a historic market town and the county town of Northamptonshire in the East Midlands of England.
  • B. Ipswich
    Ipswich is a historic town and port in Suffolk, England, known as one of the country’s oldest continuously inhabited settlements.
  • C. Hertford
    Hertford is a historic market town and the county town of Hertfordshire in southern England.
  • D. Norwich
    Norwich is a historic cathedral city in Norfolk, England, known for its medieval architecture and role as a regional cultural and economic center.
  • E. Huntingdon
    Huntingdon is a parliamentary constituency in Cambridgeshire, England, best known for being represented for many years by former UK Prime Minister John Major.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a74f886081909c27b786e3adbe32 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4bfac5cc8190a5fba1c5da98391d completed March 7, 2026, 4:02 p.m.
NEDg Description generation batch_69ac4d1d58ac8190b1fc39a28aff8c46 completed March 7, 2026, 4:06 p.m.
NED2 Entity disambiguation (via description) batch_69ac4d90c3dc819092f6be4888851477 completed March 7, 2026, 4:08 p.m.
Created at: March 1, 2026, 7:37 p.m.