Triple

T17832774
Position Surface form Disambiguated ID Type / Status
Subject Sharon, Massachusetts E445302 entity
Predicate hasRailStation P726 FINISHED
Object Sharon station NE NERFINISHED

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: Sharon station | Statement: [Sharon, Massachusetts, hasRailStation, Sharon station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharon station
Context triple: [Sharon, Massachusetts, hasRailStation, Sharon station]
  • A. Avron station
    Avron station is a Paris Métro station serving the 20th arrondissement on the city's rapid transit network.
  • B. Luz Station
    Luz Station is a historic railway station and major transportation hub in São Paulo, Brazil, known for its distinctive architecture and cultural significance.
  • C. Jaren Station
    Jaren Station is a local railway station serving the village of Jaren in Gran municipality in Innlandet county, Norway.
  • D. Monte Tabor station
    Monte Tabor station is a stop on Santiago's Metro system in Chile, serving passengers along Line 5 in the city's rapid transit network.
  • E. Shirley station
    Shirley station is a commuter rail stop in Shirley, Massachusetts, serving passengers on the MBTA Fitchburg Line.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sharon station
Target entity description: Sharon station is a commuter rail stop in Sharon, Massachusetts, serving passengers on the Massachusetts Bay Transportation Authority (MBTA) network.
  • A. Avron station
    Avron station is a Paris Métro station serving the 20th arrondissement on the city's rapid transit network.
  • B. Luz Station
    Luz Station is a historic railway station and major transportation hub in São Paulo, Brazil, known for its distinctive architecture and cultural significance.
  • C. Jaren Station
    Jaren Station is a local railway station serving the village of Jaren in Gran municipality in Innlandet county, Norway.
  • D. Monte Tabor station
    Monte Tabor station is a stop on Santiago's Metro system in Chile, serving passengers along Line 5 in the city's rapid transit network.
  • E. Shirley station
    Shirley station is a commuter rail stop in Shirley, Massachusetts, serving passengers on the MBTA Fitchburg Line.
  • F. None of above. chosen

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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d257414819088730f48ad7ab9ae completed April 19, 2026, 8:07 a.m.
Created at: April 10, 2026, 10:15 a.m.