Triple

T7854514
Position Surface form Disambiguated ID Type / Status
Subject Philadelphia–Harrisburg E182138 entity
Predicate usedByService P1294 FINISHED
Object Keystone Service E145760 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: Keystone Service | Statement: [Philadelphia–Harrisburg, usedByService, Keystone Service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keystone Service
Context triple: [Philadelphia–Harrisburg, 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 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. OpenStack Keystone
    OpenStack Keystone is the identity service component of the OpenStack cloud platform, providing authentication, authorization, and service catalog capabilities.
  • E. Serving Gateway
    The Serving Gateway is a core network node in LTE/EPC architectures that routes and forwards user data packets between base stations and the packet data network.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb1a72cfdc8190a3186c4c2894f571 completed March 31, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b27e9b081909a0574458ddf43b0 completed March 31, 2026, 5:27 a.m.
Created at: March 30, 2026, 4:51 p.m.