Triple

T21572841
Position Surface form Disambiguated ID Type / Status
Subject Harrisburg–Philadelphia–New York City E532325 entity
Predicate usedByService P1294 FINISHED
Object Keystone Service NE NERFINISHED

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: Keystone Service | Statement: [Harrisburg–Philadelphia–New York City, usedByService, Keystone Service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keystone Service
Context triple: [Harrisburg–Philadelphia–New York City, usedByService, Keystone Service]
  • A. Keystone Service chosen
    Keystone Service is an Amtrak-operated passenger rail service in Pennsylvania that provides frequent regional connections, primarily between Harrisburg and New York City via Philadelphia.
  • B. Keystone
    Keystone is a small tourist town in South Dakota’s Black Hills, best known as the gateway community to Mount Rushmore National Memorial.
  • C. Keystone
    Keystone is the OpenStack identity service that provides authentication, authorization, and service catalog management for the cloud platform.
  • D. Keystone
    Keystone is a small town located in McDowell County, West Virginia, historically associated with the region’s coal mining industry.
  • E. Keystone Earth
    Keystone Earth is the primary, seemingly ordinary version of Earth in Stephen King’s Dark Tower universe, serving as a central hub that other parallel worlds and realities are connected to.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eee9ce230c81909e12bd59497e2237 completed April 27, 2026, 4:45 a.m.
Created at: April 16, 2026, 6:30 p.m.