Triple

T14196739
Position Surface form Disambiguated ID Type / Status
Subject Louis Sullivan E351855 entity
Predicate notableWork P4 FINISHED
Object Gage Group Buildings E342876 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: Gage Group Buildings | Statement: [Louis Sullivan, notableWork, Gage Group Buildings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gage Group Buildings
Context triple: [Louis Sullivan, notableWork, Gage Group Buildings]
  • A. Gage Building chosen
    The Gage Building is a historic Chicago skyscraper celebrated as a prime example of early commercial architecture and the Chicago School style.
  • B. Gerry Building
    The Gerry Building is a historic Art Deco commercial structure in downtown Los Angeles, known for its role in the city’s Fashion District.
  • C. Goodhart Building
    The Goodhart Building is an academic facility that forms part of the historic University College, Oxford campus.
  • D. South Gate Building
    South Gate Building is a major commercial complex integrated with Osaka Station, featuring shopping, dining, and office spaces in central Osaka, Japan.
  • E. Grove Building
    Grove Building is a notable accommodation and teaching block within Merton College, one of the historic constituent colleges of the University of Oxford.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e30f208190b61c1c7bd3501156 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194b32d88190aa74eef576152db3 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:04 a.m.