Triple

T19467395
Position Surface form Disambiguated ID Type / Status
Subject Portsmouth Naval Shipyard E487034 entity
Predicate locatedIn P40 FINISHED
Object Kittery, Maine 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: Kittery, Maine | Statement: [Portsmouth Naval Shipyard, locatedIn, Kittery, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kittery, Maine
Context triple: [Portsmouth Naval Shipyard, locatedIn, Kittery, Maine]
  • A. Kittery, Maine chosen
    Kittery, Maine is a historic coastal town at the southern tip of the state, known for its naval shipyard and outlet shopping district.
  • B. Kennebunk, Maine
    Kennebunk, Maine is a coastal New England town known for its historic charm, beaches, and popular summer tourism.
  • C. Searsport, Maine
    Searsport, Maine is a small coastal town in New England known for its historic deep-water port and maritime heritage.
  • D. Hancock, Maine
    Hancock, Maine is a small coastal town in Hancock County known for its scenic setting along Frenchman Bay and proximity to Acadia National Park.
  • E. Knox, Maine
    Knox, Maine is a small rural town located in Waldo County in the state of Maine, United States.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633e2aee081908330a5665fa60482 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.