Triple

T19927440
Position Surface form Disambiguated ID Type / Status
Subject Station Square E478961 entity
Predicate hasNameInEnglish P3437 FINISHED
Object Station Square NE NERFINISHED

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: [Station Square, hasNameInEnglish, Station Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Station Square
Context triple: [Station Square, hasNameInEnglish, 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
    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 chosen
    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 (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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659cc1a448190aa98d4a66022457e completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.