Triple

T5405553
Position Surface form Disambiguated ID Type / Status
Subject Fanny Robarts E120883 entity
Predicate associatedWith P37 FINISHED
Object Barsetshire E98683 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: Barsetshire | Statement: [Fanny Robarts, associatedWith, Barsetshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barsetshire
Context triple: [Fanny Robarts, associatedWith, Barsetshire]
  • A. Barsetshire chosen
    Barsetshire is a fictional English county created by Anthony Trollope as the backdrop for his series of Victorian social and clerical novels.
  • B. Cotswold District
    Cotswold District is a local government district in Gloucestershire, England, known for its picturesque rural landscapes, historic market towns, and traditional Cotswold stone architecture.
  • C. Herefordshire
    Herefordshire is a predominantly rural county in the West Midlands of England, known for its agriculture, rolling countryside, and the cathedral city of Hereford.
  • D. Banbury
    Banbury is a historic market town in Oxfordshire, England, known for its medieval cross, canal-side setting, and association with the traditional Banbury cake.
  • E. Somerset
    Somerset is a coastal town in Bristol County, Massachusetts, situated along the Taunton River opposite the city of Fall River.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8775e964819085c0ff5afea35f0e completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3394af9c81909f9a3bb06d48595d completed March 22, 2026, 12:11 a.m.
Created at: March 20, 2026, 2:05 p.m.