Triple

T15999702
Position Surface form Disambiguated ID Type / Status
Subject Sonic Adventure E388062 entity
Predicate setting P1957 FINISHED
Object Station Square E732828 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: Station Square | Statement: [Sonic Adventure, setting, Station Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Station Square
Context triple: [Sonic Adventure, setting, Station Square]
  • A. Station Square
    Station Square is a major central hub in the Tbilisi Metro system, serving as a key transfer point for passengers in Georgia’s capital city.
  • B. Station Square chosen
    Station Square is a large, bustling human city in the Sonic the Hedgehog series, notable for its urban landscapes, transportation hubs, and role as a central location in Sonic Adventure.
  • C. Station Square
    Station Square is a popular mixed-use riverfront complex in Pittsburgh known for its shops, restaurants, entertainment venues, and views of the city skyline.
  • D. Centre Square
    Centre Square was a historic public square in central Philadelphia that originally served as the city’s main civic center and site of its early waterworks.
  • E. Cornerstone Square
    Cornerstone Square is a major retail and commercial shopping center located in Westford, Massachusetts.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1578a0adc819097c6a23514182173 completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d99ca08190a3d07a0802b1b24a completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.