Triple

T82800
Position Surface form Disambiguated ID Type / Status
Subject Soldier Field E1663 entity
Predicate architect P184 FINISHED
Object Wood + Zapata
Wood + Zapata is an architecture firm known for its role in the modern renovation and design work of major sports and public venues in the United States.
E5739 NE FINISHED

How this triple was built (4 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: Wood + Zapata | Statement: [Soldier Field, architect, Wood + Zapata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wood + Zapata
Context triple: [Soldier Field, architect, Wood + Zapata]
  • A. Milwaukee Deep
    Milwaukee Deep is the deepest known point in the Atlantic Ocean, located within the Puerto Rico Trench.
  • B. Stumptown
    Stumptown is a historic nickname for Portland, Oregon, referencing the city’s rapid 19th-century growth that left tree stumps scattered throughout the area.
  • C. City of Trees
    City of Trees is a popular nickname for Sacramento, California, highlighting its extensive urban tree canopy and lush greenery.
  • D. Fall Weiss
    Fall Weiss was the codename for Nazi Germany’s military plan to invade Poland in September 1939, marking the beginning of World War II in Europe.
  • E. Dream Machines
    Dream Machines is the visionary second half of Ted Nelson’s influential 1974 book that imagines interactive, hypertext-based computers as tools for personal creativity and liberation.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wood + Zapata
Triple: [Soldier Field, architect, Wood + Zapata]
Generated description
Wood + Zapata is an architecture firm known for its role in the modern renovation and design work of major sports and public venues in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wood + Zapata
Target entity description: Wood + Zapata is an architecture firm known for its role in the modern renovation and design work of major sports and public venues in the United States.
  • A. Milwaukee Deep
    Milwaukee Deep is the deepest known point in the Atlantic Ocean, located within the Puerto Rico Trench.
  • B. Stumptown
    Stumptown is a historic nickname for Portland, Oregon, referencing the city’s rapid 19th-century growth that left tree stumps scattered throughout the area.
  • C. City of Trees
    City of Trees is a popular nickname for Sacramento, California, highlighting its extensive urban tree canopy and lush greenery.
  • D. Encore
    Encore is a luxury casino and resort brand operated by Wynn Resorts, known for its upscale accommodations, gaming, dining, and entertainment offerings.
  • E. Fall Weiss
    Fall Weiss was the codename for Nazi Germany’s military plan to invade Poland in September 1939, marking the beginning of World War II in Europe.
  • F. None of above. chosen

Provenance (5 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_69a24c8150408190910a693eb51c1f71 completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24f4ccb5081908decac81f4af01bf completed Feb. 28, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2555394f881909f01ec05c75ff63d completed Feb. 28, 2026, 2:39 a.m.
NEDg Description generation batch_69a256c4dc84819098c62b776c9ec80d completed Feb. 28, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69a25781a51c8190b9a2ecbd2ef4ecae completed Feb. 28, 2026, 2:48 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.