Triple

T315935
Position Surface form Disambiguated ID Type / Status
Subject Kutaisi E7705 entity
Predicate hasSisterCity P919 FINISHED
Object Newport E39916 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: Newport | Statement: [Kutaisi, hasSisterCity, Newport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newport
Context triple: [Kutaisi, hasSisterCity, Newport]
  • A. Newport chosen
    Newport is a major city in South Wales known as an important industrial and port center on the River Usk.
  • B. Newport, Rhode Island
    Newport, Rhode Island is a historic coastal city in New England known for its Gilded Age mansions, maritime heritage, and role as a summer resort for America’s wealthy elite.
  • C. Newport, Maine
    Newport, Maine is a small town in Penobscot County known as a regional service and transportation hub in central Maine.
  • D. Falmouth
    Falmouth is a prominent coastal town on Cape Cod in Massachusetts known for its beaches, ferry access to Martha’s Vineyard, and historic New England charm.
  • E. Provincetown
    Provincetown is a historic coastal resort town at the tip of Cape Cod in Massachusetts, known for its vibrant arts scene, LGBTQ+ community, and scenic beaches.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea6462148190825acc57f6d2adaf completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a49848877881909ace940c0325bc4a completed March 1, 2026, 7:49 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.