Triple

T8442309
Position Surface form Disambiguated ID Type / Status
Subject Samuel A. Worcester E199578 entity
Predicate familyName P18 FINISHED
Object Worcester E20486 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: Worcester | Statement: [Samuel A. Worcester, familyName, Worcester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Worcester
Context triple: [Samuel A. Worcester, familyName, Worcester]
  • A. Worcester
    Worcester is a large agricultural and commercial town in South Africa’s Western Cape, known for its vineyards, fruit farming, and surrounding mountain scenery.
  • B. Worcester
    Worcester is a historic cathedral city in Worcestershire, England, situated on the River Severn and known for its medieval architecture and cultural heritage.
  • C. Worcester, Massachusetts chosen
    Worcester, Massachusetts is a major city in central Massachusetts known as a historic industrial and educational hub often called the "Heart of the Commonwealth."
  • D. Woburn
    Woburn is a historic village in Bedfordshire, England, best known for Woburn Abbey and its associated safari park and estate.
  • E. Woburn
    Woburn is a residential neighbourhood in the eastern part of Toronto, Ontario, known for its diverse community and mix of high-rise apartments and single-family homes.
  • 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe30fba4081908bfdef3faf5baceb completed March 31, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1da3a99481909c9beae665bb5b83 completed April 2, 2026, 7:41 a.m.
Created at: March 30, 2026, 6:08 p.m.