Triple

T3984615
Position Surface form Disambiguated ID Type / Status
Subject Rutland E86840 entity
Predicate historicRegistrationCounty P27241 FINISHED
Object Rutland E86840 NE FINISHED

How this triple was built (3 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, historicRegistrationCounty, Rutland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rutland
Context triple: [Rutland, historicRegistrationCounty, 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 chosen
    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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicRegistrationCounty
Context triple: [Rutland, historicRegistrationCounty, Rutland]
  • A. historicalCounty
    Indicates that an entity was located within or associated with a county as it existed in the past, even if that county’s boundaries or administrative status have since changed.
  • B. hasHistoricRegistrationCountyStatus chosen
    Indicates that an entity holds or has held official historic registration status within a particular county.
  • C. hasHistoricCountyNumber
    Indicates that an entity is associated with a specific identifier corresponding to its historic county designation.
  • D. historicCountyPredecessor
    Indicates that one historic county served as a predecessor or earlier form of another historic county in an administrative or territorial succession.
  • E. homeCounty
    Indicates that a specified county is the primary home or place of residence for a given person or entity.
  • F. None of above.

Provenance (4 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa3ef7ac8190abe02f440ff83c43 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5561f0a2881909d758a8fba58309d completed March 14, 2026, 12:35 p.m.
PD Predicate disambiguation batch_69aef8f492ac819089dbb9436dbcdd2b completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:33 p.m.