Triple

T271122
Position Surface form Disambiguated ID Type / Status
Subject Silver Meteor E5634 entity
Predicate stopsAt P6657 FINISHED
Object Philadelphia E171 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: Philadelphia | Statement: [Silver Meteor, stopsAt, Philadelphia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philadelphia
Context triple: [Silver Meteor, stopsAt, Philadelphia]
  • A. Philadelphia chosen
    Philadelphia is a major historic U.S. city in Pennsylvania known for its role in the American Revolution, iconic landmarks like Independence Hall and the Liberty Bell, and its rich cultural and academic institutions.
  • B. West Philadelphia
    West Philadelphia is a large, historically diverse section of Philadelphia known for its residential neighborhoods, cultural institutions, and major universities.
  • C. Pittsburgh, Pennsylvania
    Pittsburgh, Pennsylvania is a major U.S. city in western Pennsylvania known for its historic steel industry, numerous bridges, and strong educational and technology sectors.
  • D. Duquesne, Pennsylvania
    Duquesne, Pennsylvania is a small industrial city along the Monongahela River near Pittsburgh, historically known as a major steel-producing community in the American Rust Belt.
  • E. Norristown
    Norristown is a historic borough in Montgomery County, Pennsylvania, serving as a county seat and inner suburb within the greater Philadelphia metropolitan area.
  • 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: stopsAt
Context triple: [Silver Meteor, stopsAt, Philadelphia]
  • A. hasBusStation
    Indicates that a place or area contains or is served by a bus station.
  • B. hasRailStation
    Indicates that one entity possesses, contains, or is served by a rail station.
  • C. hasRailwayStation
    Indicates that a place or location is served by, or contains, a railway station.
  • D. publicTransitStop chosen
    Indicates that a location serves as a designated stop or station where public transit vehicles (such as buses, trains, or trams) pick up and drop off passengers.
  • E. hasPassengerTerminal
    Indicates that one entity possesses or is equipped with a passenger terminal used for boarding, alighting, or handling passengers.
  • 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_69a25853594c8190b05ec3a586ec88bf completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25e69a9248190b9e7959b43223baa completed Feb. 28, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69a43e6744888190b4514f057fc98498 completed March 1, 2026, 1:25 p.m.
PD Predicate disambiguation batch_69a25b721180819080d43c43fcbccf87 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:57 a.m.