Triple

T11522320
Position Surface form Disambiguated ID Type / Status
Subject A38 road E273195 entity
Predicate passesThrough P225 FINISHED
Object Worcester E380953 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: [A38 road, passesThrough, Worcester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Worcester
Context triple: [A38 road, passesThrough, 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 small town in Otsego County, New York, known for its rural character and location in the central part of the state.
  • C. Worcester chosen
    Worcester is a historic cathedral city in Worcestershire, England, situated on the River Severn and known for its medieval architecture and cultural heritage.
  • D. Worcester, Massachusetts
    Worcester, Massachusetts is a major city in central Massachusetts known as a historic industrial and educational hub often called the "Heart of the Commonwealth."
  • E. Worcester metropolitan area
    The Worcester metropolitan area is a U.S. Census-defined region in central Massachusetts centered on the city of Worcester, encompassing surrounding suburban and rural communities.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fd129c88190893b95222480e04a completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6853dc47c81909d47f1047ba662e7 completed April 20, 2026, 7:57 p.m.
Created at: April 8, 2026, 9:37 p.m.