Triple

T17819870
Position Surface form Disambiguated ID Type / Status
Subject Vermont Route 3 E444950 entity
Predicate regionServed P82 FINISHED
Object Rutland area NE NERFINISHED

How this triple was built (2 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 area | Statement: [Vermont Route 3, regionServed, Rutland area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rutland area
Context triple: [Vermont Route 3, regionServed, Rutland area]
  • A. Rutland chosen
    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
    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. Stroudwater region
    The Stroudwater region is a historic area in Gloucestershire, England, renowned from the 17th to 19th centuries for its high-quality woollen cloth production and textile industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e489101aa48190a1439d8cb683bba9 completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.