Triple

T13498392
Position Surface form Disambiguated ID Type / Status
Subject ACS-64 E320818 entity
Predicate nickname P55 FINISHED
Object Cities Sprinter E294918 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: Cities Sprinter | Statement: [ACS-64, nickname, Cities Sprinter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cities Sprinter
Context triple: [ACS-64, nickname, Cities Sprinter]
  • A. Cities Sprinter chosen
    Cities Sprinter is the marketing name for Amtrak’s Siemens ACS-64 electric locomotives used on the Northeast Corridor and other electrified routes in the United States.
  • B. CN City
    CN City was a stylized, city-themed programming block on Cartoon Network that featured the network’s characters living together in a shared urban environment between shows.
  • C. Element City
    Element City is the vibrant, anthropomorphic metropolis in Pixar’s animated film "Elemental," where fire, water, air, and earth residents live together and navigate their cultural and elemental differences.
  • D. Metrocars
    Metrocars are the electric multiple unit trains specifically designed and used for passenger services on the Tyne and Wear Metro system in North East England.
  • E. Citytrain network
    The Citytrain network is Brisbane’s suburban passenger rail system, providing frequent commuter services across the greater metropolitan area and surrounding regions.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4fab688190bdc746985b0c7338 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75485af6c8190a43ccab5449f5014 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:43 p.m.