Triple

T1037402
Position Surface form Disambiguated ID Type / Status
Subject Massachusetts Port Authority E22395 entity
Predicate operates P24 FINISHED
Object Hanscom Field E136356 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: Hanscom Field | Statement: [Massachusetts Port Authority, operates, Hanscom Field]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanscom Field
Context triple: [Massachusetts Port Authority, operates, Hanscom Field]
  • A. Hanscom Field chosen
    Hanscom Field is a public airport in Bedford, Massachusetts that serves as a major general aviation and corporate aviation facility for the Greater Boston area.
  • B. Quincy Municipal Airport
    Quincy Municipal Airport is a public-use airport serving the city of Quincy and surrounding areas in Gadsden County, Florida.
  • C. Boston Logan International Airport
    Boston Logan International Airport is a major international airport serving the Greater Boston area and New England, acting as a key hub for both domestic and transatlantic flights.
  • D. Stanstead Airport
    Stanstead Airport is a railway station in Essex, England, serving London Stansted Airport with regional and intercity train connections.
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b82a1014819085bfc077e24c9742 completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac89fd91208190ac962ec7059f716b completed March 7, 2026, 8:26 p.m.
Created at: March 1, 2026, 7:41 p.m.