Triple

T12596089
Position Surface form Disambiguated ID Type / Status
Subject Bethesda, Maryland E300733 entity
Predicate hasMetroStation P522 FINISHED
Object Bethesda station E149068 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: Bethesda station | Statement: [Bethesda, Maryland, hasMetroStation, Bethesda station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bethesda station
Context triple: [Bethesda, Maryland, hasMetroStation, Bethesda station]
  • A. Bethesda station chosen
    Bethesda station is an underground Washington Metro station in Bethesda, Maryland, serving the Red Line and the surrounding downtown commercial district.
  • B. Clinton station
    Clinton station is a commuter rail stop in Clinton, Connecticut, served by the Shore Line East line.
  • C. Victory Station
    Victory Station is a Dallas Area Rapid Transit (DART) light rail and commuter rail station located near the American Airlines Center in Dallas, Texas.
  • D. Howard station
    Howard station is a major Chicago Transit Authority rail terminal on the city's North Side that serves as a key hub for the Red, Purple, and Yellow Lines.
  • E. Park Station
    Park Station is Johannesburg’s main central railway and bus terminal, serving as a major transportation hub for the city and the wider region.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954cf33b88190bff339fcd3142cc8 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec49af881908abb948567b82b74 completed May 2, 2026, 8:29 p.m.
Created at: April 9, 2026, 5:08 p.m.