Triple

T1932880
Position Surface form Disambiguated ID Type / Status
Subject Amtrak Silver Service E40984 entity
Predicate majorStop P29762 FINISHED
Object Savannah E49314 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: Savannah | Statement: [Amtrak Silver Service, majorStop, Savannah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Savannah
Context triple: [Amtrak Silver Service, majorStop, Savannah]
  • A. Savannah chosen
    Savannah is a historic coastal city in the U.S. state of Georgia, renowned for its well-preserved architecture, cobblestone squares, and rich Southern cultural heritage.
  • B. Savannah metropolitan area
    The Savannah metropolitan area is a coastal urban region in southeastern Georgia centered on the historic port city of Savannah, known for its tourism, logistics, and cultural heritage.
  • C. Aiken
    Aiken is a variant spelling of the surname Aitken, which is of Scottish origin.
  • D. Marion
    Marion is a given name used for people of any gender in various cultures, often as a variant of Mary or Marian.
  • E. Marion
    Marion is a small coastal town in southeastern Massachusetts known for its maritime heritage and picturesque New England character.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb299f3c48190a5021d320ded4405 completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3f16d0c8190967862b68e6cc373 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.