Triple

T553389
Position Surface form Disambiguated ID Type / Status
Subject Moran Terminal E11889 entity
Predicate locatedIn P40 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: [Moran Terminal, locatedIn, Port of Boston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Boston
Context triple: [Moran Terminal, locatedIn, Port of Boston]
  • A. Port of Boston
    The Port of Boston is a commercial seaport in Lincolnshire, England, serving as a regional hub for cargo handling and maritime trade.
  • B. 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.
  • C. Port of Newport
    The Port of Newport is a major Oregon coastal port and marina complex that supports commercial fishing, shipping, and recreational boating on the central Pacific coast.
  • D. Hyannis Port Harbor
    Hyannis Port Harbor is a small coastal harbor on Cape Cod known for its recreational boating, scenic waterfront, and proximity to the historic Kennedy family compound.
  • E. Montrose Harbor
    Montrose Harbor is a popular Chicago marina on Lake Michigan known for its boating facilities, skyline views, and proximity to Montrose Beach and parkland.
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4991b296481908cf27e1d1ec67052 completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56ee8472081908f3d3bed26a40aca completed March 2, 2026, 11:05 a.m.
Created at: March 1, 2026, 7:32 p.m.