Triple

T187934
Position Surface form Disambiguated ID Type / Status
Subject Lake Shore Limited E4023 entity
Predicate via P5680 FINISHED
Object Syracuse E22838 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: Syracuse | Statement: [Lake Shore Limited, via, Syracuse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syracuse
Context triple: [Lake Shore Limited, via, Syracuse]
  • A. Syracuse chosen
    Syracuse is a mid-sized city in central New York State known for Syracuse University, its role as a regional economic and cultural hub, and its snowy winters.
  • B. Utica, New York
    Utica, New York is a small city in central New York State known historically as an industrial and transportation hub and today for its cultural diversity and role in the Mohawk Valley region.
  • C. Rochester
    Rochester is a major city in western New York State known historically for its role in industry, photography, and social reform movements.
  • D. Buffalo
    Buffalo is a major city in western New York State known for its industrial history, proximity to Niagara Falls, and namesake Buffalo-style chicken wings.
  • E. Albany
    Albany is the capital city of the U.S. state of New York, known as a historic political and cultural center in the northeastern United States.
  • 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_69a25497e2f08190a040f8c6e1842643 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25bc834388190a93ec1ab0d5946de completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a4c6698344819084b55d4a50408e5d completed March 1, 2026, 11:06 p.m.
Created at: Feb. 28, 2026, 2:40 a.m.