Triple

T9768347
Position Surface form Disambiguated ID Type / Status
Subject Amtrak Palmetto E237055 entity
Predicate name P16 FINISHED
Object Palmetto E202240 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: Palmetto | Statement: [Amtrak Palmetto, name, Palmetto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palmetto
Context triple: [Amtrak Palmetto, name, Palmetto]
  • A. Palmetto chosen
    Palmetto is a long-distance Amtrak passenger train service operating along the U.S. East Coast between New York City and Savannah, Georgia.
  • B. Palmetto, Florida
    Palmetto, Florida is a small coastal city on the Gulf Coast known for its historic downtown, waterfront parks, and location along the Manatee River.
  • C. Sumter
    Sumter is a surname of English origin most notably associated with several prominent American historical figures and families.
  • D. Esto, Florida
    Esto, Florida is a small rural town located in Holmes County in the Florida Panhandle near the Alabama state line.
  • E. Atala
    Atala is a romantic novella by François-René de Chateaubriand that helped inaugurate French Romanticism through its exotic American setting and themes of passion, religion, and tragic love.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0a2da648190836916a45d2998d7 completed April 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd05f2588190ab413d26342aa70f completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:25 p.m.