Triple

T329820
Position Surface form Disambiguated ID Type / Status
Subject Boston Fish Pier E6600 entity
Predicate owner P347 FINISHED
Object Massport E22337 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: Massport | Statement: [Boston Fish Pier, owner, Massport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Massport
Context triple: [Boston Fish Pier, owner, Massport]
  • A. Massport chosen
    Massport is the Massachusetts Port Authority, a public agency that owns and operates key transportation facilities in the Boston area, including Logan International Airport and the Port of Boston.
  • B. Logan International Airport
    Logan International Airport is a major U.S. air transportation hub serving the Greater Boston area and New England region.
  • C. Sawyer International Airport
    Sawyer International Airport is a public airport serving commercial and general aviation needs for the Marquette region in Michigan’s Upper Peninsula.
  • D. LaGuardia Airport
    LaGuardia Airport is a major commercial airport in Queens serving New York City, particularly known for its domestic flights and proximity to Manhattan.
  • E. Wilson Airport
    Wilson Airport is a busy domestic and regional airport in Nairobi, Kenya, serving general aviation, charter flights, and short-haul passenger services.
  • 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_69a2e79434908190a9d5afe415153ad9 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eaaeb64881909c7ab9bca3378e2b completed Feb. 28, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5554286788190b7ae0c81d2e352e8 completed March 2, 2026, 9:15 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.