Triple

T98047
Position Surface form Disambiguated ID Type / Status
Subject USBOS E1976 entity
Predicate codeFor P3746 FINISHED
Object Port of Boston E501 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: Port of Boston | Statement: [USBOS, codeFor, Port of Boston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Boston
Context triple: [USBOS, codeFor, Port of Boston]
  • A. Port of Boston chosen
    The Port of Boston is a major New England seaport and transportation hub handling cargo, cruise ships, and maritime commerce for the Boston metropolitan area.
  • B. Old Port
    Old Port is Portland, Maine’s historic waterfront district known for its cobblestone streets, 19th-century brick buildings, and vibrant shops, restaurants, and nightlife.
  • C. Port of Portland
    The Port of Portland is a major Pacific Northwest seaport and transportation hub in Oregon that handles international maritime trade, cargo, and regional logistics.
  • D. New Bedford, Massachusetts
    New Bedford, Massachusetts is a historic coastal city in southeastern Massachusetts known for its prominent 19th-century whaling industry and working waterfront.
  • E. Port of New York and New Jersey
    The Port of New York and New Jersey is the largest seaport on the U.S. East Coast and a major global shipping and transportation hub serving the New York metropolitan area.
  • 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_69a24d4862f881908cc8b89d3a78031d completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a256a7957c8190bf9924eff7572b95 completed Feb. 28, 2026, 2:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a32bc28a008190a63df84b5ab90679 completed Feb. 28, 2026, 5:54 p.m.
Created at: Feb. 28, 2026, 2:09 a.m.