Triple

T386289
Position Surface form Disambiguated ID Type / Status
Subject Logan International Airport E8786 entity
Predicate cityServed P82 FINISHED
Object Somerville E10643 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: Somerville | Statement: [Logan International Airport, cityServed, Somerville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Somerville
Context triple: [Logan International Airport, cityServed, Somerville]
  • A. Somerville, Massachusetts chosen
    Somerville, Massachusetts is a densely populated, historically working-class city just northwest of Boston known for its vibrant arts scene, diverse communities, and lively squares such as Davis and Union Square.
  • B. Norwood
    Norwood is the surname of American singer, songwriter, and actress Brandy, known for her influential R&B music career and roles in film and television.
  • C. Acton
    Acton is a suburban town in Middlesex County, Massachusetts, known for its residential communities, conservation land, and commuter access to Boston.
  • D. Swampscott
    Swampscott is a coastal town in northeastern Massachusetts known for its residential character and seaside location north of Boston.
  • 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec447b5481908a5a084787b44ced completed Feb. 28, 2026, 1:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69adf39f5694819086fcdbd27fa2ea4b completed March 8, 2026, 10:09 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.