Triple

T18859457
Position Surface form Disambiguated ID Type / Status
Subject Moses H. Grinnell E461269 entity
Predicate employer P7 FINISHED
Object Port of New York 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: Port of New York | Statement: [Moses H. Grinnell, employer, Port of New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of New York
Context triple: [Moses H. Grinnell, employer, Port of New York]
  • A. Port of New York and New Jersey chosen
    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.
  • B. Port of Buffalo
    The Port of Buffalo is a commercial and industrial harbor in Buffalo, New York, serving as a key shipping and logistics hub on the Great Lakes–St. Lawrence Seaway system.
  • C. Port of Bayonne
    The Port of Bayonne is a commercial and industrial seaport in southwestern France near the Spanish border, handling diverse cargo traffic along the Atlantic coast.
  • D. 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.
  • E. Port of Boston
    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.
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05fb800819098951ec134a1fa2a completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:57 a.m.