Triple

T1272387
Position Surface form Disambiguated ID Type / Status
Subject USS Pampanito E15737 entity
Predicate builderLocation P14455 FINISHED
Object Kittery, Maine E363397 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: Kittery, Maine | Statement: [USS Pampanito, builderLocation, Kittery, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kittery, Maine
Context triple: [USS Pampanito, builderLocation, 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. Brunswick, Maine
    Brunswick, Maine is a coastal New England town known for being the home of Bowdoin College and for its historic downtown and maritime heritage.
  • D. Millinocket, Maine
    Millinocket, Maine is a small town in northern Maine known historically as a paper mill community and as a gateway to Baxter State Park and Mount Katahdin.
  • E. Plymouth, Maine
    Plymouth, Maine is a small rural town in Penobscot County known for its quiet residential character and forested, lake-dotted landscape.
  • 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c06c033081909bc594157abaf5bb completed March 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdaf3ea08190b2663866c984b203 completed March 14, 2026, 2:53 a.m.
Created at: March 1, 2026, 7:50 p.m.