Triple

T5887913
Position Surface form Disambiguated ID Type / Status
Subject Rutland of Jutland E130914 entity
Predicate familyName P18 FINISHED
Object Rutland
Rutland is an English surname historically associated with nobility and geographic regions in England.
 E86840 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 | Statement: [Rutland of Jutland, familyName, Rutland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rutland
Context triple: [Rutland of Jutland, familyName, Rutland]
  • A. Rutland
    Rutland is an unincorporated community located in Bibb County, Georgia, United States.
  • B. Rutland
    Rutland is a small town in Worcester County, Massachusetts, known for its rural character and location near the geographic center of the state.
  • C. Rutland
    Rutland is a small city in central Vermont known historically as a marble quarrying center and as a regional hub for commerce and outdoor recreation.
  • D. Rutland
    Rutland is a small historic county in the East Midlands of England, known for its rural character and Rutland Water reservoir.
  • E. Berkshire
    Berkshire is a historic county in South East England known for its royal connections, including Windsor Castle, and its mix of affluent towns and rural landscapes.
  • 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
Triple: [Rutland of Jutland, familyName, Rutland]
Generated description
Rutland is an English surname historically associated with nobility and geographic regions in England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rutland
Target entity description: Rutland is an English surname historically associated with nobility and geographic regions in England.
  • A. Rutland
    Rutland is a small city in central Vermont known historically as a marble quarrying center and as a regional hub for commerce and outdoor recreation.
  • B. Rutland chosen
    Rutland is a small historic county in the East Midlands of England, known for its rural character and Rutland Water reservoir.
  • C. Rutland
    Rutland is an unincorporated community located in Bibb County, Georgia, United States.
  • D. Rutland
    Rutland is a small town in Worcester County, Massachusetts, known for its rural character and location near the geographic center of the state.
  • E. Berkshire
    Berkshire is a historic county in South East England known for its royal connections, including Windsor Castle, and its mix of affluent towns and rural landscapes.
  • 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_69c0085628dc8190b334c1b44c067efc completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036af6330819081d9fa98a8c26633 completed March 22, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b141a93081908ad4a64f9a96dce4 completed March 23, 2026, 3:19 a.m.
NEDg Description generation batch_69c0b22d661c8190a055abd3ca6fa92f completed March 23, 2026, 3:23 a.m.
NED2 Entity disambiguation (via description) batch_69c0b608a10881908c9bca7d09a99b05 completed March 23, 2026, 3:39 a.m.
Created at: March 22, 2026, 3:57 p.m.