Triple

T1608507
Position Surface form Disambiguated ID Type / Status
Subject Eastern Massachusetts E34561 entity
Predicate includesCity P3207 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: [Eastern Massachusetts, includesCity, Worcester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Worcester
Context triple: [Eastern Massachusetts, includesCity, 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, 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."
  • C. Ipswich
    Ipswich is a historic town and port in Suffolk, England, known as one of the country’s oldest continuously inhabited settlements.
  • D. Worcester, England
    Worcester, England is a historic cathedral city in the West Midlands of England, known for its medieval architecture, role in the English Civil War, and as the namesake of Worcester, Massachusetts.
  • E. Fitchburg
    Fitchburg is a small city in north-central Massachusetts known for its industrial history, hilly terrain, and role as a regional rail hub.
  • 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_69a885fea6a481909fe83ba6441f1774 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9096e45408190b99e51df5b4a1cee completed March 5, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf308fe4819093ac42f637929a5e completed March 8, 2026, 8:42 p.m.
Created at: March 4, 2026, 7:28 p.m.