Triple

T3984608
Position Surface form Disambiguated ID Type / Status
Subject Rutland E86840 entity
Predicate parliamentaryConstituency P2710 FINISHED
Object Rutland and Melton E86840 NE FINISHED

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 and Melton | Statement: [Rutland, parliamentaryConstituency, Rutland and Melton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rutland and Melton
Context triple: [Rutland, parliamentaryConstituency, Rutland and Melton]
  • A. Rutland City
    Rutland City is a small city in central Vermont known historically as a regional center for marble quarrying and rail transport.
  • B. 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.
  • C. Rutland chosen
    Rutland is a small historic county in the East Midlands of England, known for its rural character and Rutland Water reservoir.
  • D. Rutland
    Rutland is an unincorporated community located in Bibb County, Georgia, United States.
  • E. Rutland
    Rutland is a small town in Worcester County, Massachusetts, known for its rural character and location near the geographic center of the state.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aef9de58d48190969f354a1bf0df94 completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b540284d548190821d37b68974a2d2 completed March 14, 2026, 11:02 a.m.
Created at: March 9, 2026, 3:33 p.m.