Triple

T12524594
Position Surface form Disambiguated ID Type / Status
Subject Fernanda Montenegro E299402 entity
Predicate notableWork P4 FINISHED
Object Central Station E350561 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: Central Station | Statement: [Fernanda Montenegro, notableWork, Central Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Station
Context triple: [Fernanda Montenegro, notableWork, Central Station]
  • A. Central Station chosen
    Central Station is a 1998 Brazilian drama film by Walter Salles that follows the emotional journey of a retired schoolteacher and a young boy traveling across Brazil in search of his father.
  • B. Central Station
    Central Station is a key light rail stop on the METRO Green Line serving as an important transit hub in its area.
  • C. Central Station
    Central Station was the original name of Lisbon’s historic Rossio railway station, a key 19th-century rail hub known for its distinctive Neo-Manueline architecture.
  • D. Central Station
    Central Station is a key elevated stop on Jacksonville’s automated Skyway people mover system in downtown Jacksonville, Florida.
  • E. Upper Station
    Upper Station is the hilltop terminal of Pittsburgh’s historic Duquesne Incline funicular, serving as its upper boarding and observation point.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545c2aa081908e8a5a94d30e23eb completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bc159c88190835fea5c0d9ee799 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.