Triple

T20877851
Position Surface form Disambiguated ID Type / Status
Subject Gerard O’Neill E514066 entity
Predicate basedIn P40 FINISHED
Object Massachusetts NE NERFINISHED

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: Massachusetts | Statement: [Gerard O’Neill, basedIn, Massachusetts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Massachusetts
Context triple: [Gerard O’Neill, basedIn, Massachusetts]
  • A. Massachusetts chosen
    Massachusetts is a U.S. state in New England known for its pivotal role in American history, prestigious universities, and major cultural and economic centers like Boston.
  • B. Massachusett
    The Massachusett are an Indigenous Algonquian-speaking people of what is now eastern Massachusetts, historically centered around Massachusetts Bay.
  • C. D. Mass.
    D. Mass. is the standard legal abbreviation for the United States District Court for the District of Massachusetts, a federal trial court within the First Circuit.
  • D. Florida, Massachusetts
    Florida is a small, rural town in the Berkshire Mountains of northwestern Massachusetts, known for its high elevation, scenic vistas, and proximity to the Mohawk Trail.
  • E. Ayer, Massachusetts
    Ayer, Massachusetts is a small New England town in north-central Massachusetts known for its historic railroad junction, former Fort Devens military base nearby, and role as a local commercial center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c6775f108190a79cd5e8c31cecf6 completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:45 p.m.