Triple

T9682064
Position Surface form Disambiguated ID Type / Status
Subject Elizabethtown, Pennsylvania E234305 entity
Predicate railLineServedBy P6301 FINISHED
Object Keystone Service E145760 NE FINISHED

How this triple was built (3 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: [Elizabethtown, Pennsylvania, railLineServedBy, Keystone Service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keystone Service
Context triple: [Elizabethtown, Pennsylvania, railLineServedBy, 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 town located in McDowell County, West Virginia, historically associated with the region’s coal mining industry.
  • C. Keystone
    Keystone is a small tourist town in South Dakota’s Black Hills, best known as the gateway community to Mount Rushmore National Memorial.
  • D. Keystone
    Keystone is the OpenStack identity service that provides authentication, authorization, and service catalog management for the cloud platform.
  • 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: railLineServedBy
Context triple: [Elizabethtown, Pennsylvania, railLineServedBy, Keystone Service]
  • A. railwayTypeServed
    Indicates the type of railway system or service that a given entity (such as a station, line, or facility) is designed to serve or accommodate.
  • B. railServicesTo
    Indicates that rail transportation services operate from one location to another specified destination.
  • C. transportationServedBy
    Indicates that a transportation facility, route, or area is provided service or coverage by a specific transportation provider or mode.
  • D. lineServed chosen
    Indicates that a particular transportation line (such as a bus, train, or metro line) provides service to or is operated at a given stop, station, or route segment.
  • E. railLineOrigin
    Indicates that a rail line begins or originates from a specified location or point.
  • F. None of above.

Provenance (4 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9c9fec1c8190b2626848cb2c1871 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a3d77c48190b7fcde4708ca3811 completed April 4, 2026, 10:01 p.m.
PD Predicate disambiguation batch_69ccd5b840f081909f66bf0b66d17d9b completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:16 p.m.