Triple

T3109696
Position Surface form Disambiguated ID Type / Status
Subject Rutland E64919 entity
Predicate hasHistoricName P2834 FINISHED
Object Rutland City
Rutland City is a small city in central Vermont known historically as a regional center for marble quarrying and rail transport.
 E331696 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: Rutland City | Statement: [Rutland, hasHistoricName, Rutland City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rutland City
Context triple: [Rutland, hasHistoricName, Rutland City]
  • A. Huntingdon
    Huntingdon is a parliamentary constituency in Cambridgeshire, England, best known for being represented for many years by former UK Prime Minister John Major.
  • B. Bedford
    Bedford is a suburban community within the Halifax Regional Municipality in Nova Scotia, Canada, known for its residential areas and waterfront along the Bedford Basin.
  • C. Bedford
    Bedford is a small suburban city located in northeastern Ohio within the Greater Cleveland metropolitan area.
  • D. Bedford
    Bedford is a historic market town and the county town of Bedfordshire in eastern England, situated on the River Great Ouse.
  • E. Northampton
    Northampton is a historic market town and the county town of Northamptonshire in the East Midlands of England.
  • 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: Rutland City
Triple: [Rutland, hasHistoricName, Rutland City]
Generated description
Rutland City is a small city in central Vermont known historically as a regional center for marble quarrying and rail transport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rutland City
Target entity description: Rutland City is a small city in central Vermont known historically as a regional center for marble quarrying and rail transport.
  • A. Huntingdon
    Huntingdon is a parliamentary constituency in Cambridgeshire, England, best known for being represented for many years by former UK Prime Minister John Major.
  • B. Bedford
    Bedford is a suburban community within the Halifax Regional Municipality in Nova Scotia, Canada, known for its residential areas and waterfront along the Bedford Basin.
  • C. Bedford
    Bedford is a small suburban city located in northeastern Ohio within the Greater Cleveland metropolitan area.
  • D. Bedford
    Bedford is a historic market town and the county town of Bedfordshire in eastern England, situated on the River Great Ouse.
  • E. Northampton
    Northampton is a historic market town and the county town of Northamptonshire in the East Midlands of England.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada2a0ab2481908db50738ec3ad0fb completed March 8, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224c9ecd481909198bb0a6c0c31e8 completed March 12, 2026, 2:28 a.m.
NEDg Description generation batch_69b2277b5af8819089da78955f88d1a5 completed March 12, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69b2280d49248190bcba38d38a7f6947 completed March 12, 2026, 2:42 a.m.
Created at: March 8, 2026, 3:04 p.m.