Triple

T21586471
Position Surface form Disambiguated ID Type / Status
Subject Museum Plaza E532663 entity
Predicate architect P184 FINISHED
Object REX (architecture firm) 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: REX (architecture firm) | Statement: [Museum Plaza, architect, REX (architecture firm)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: REX (architecture firm)
Context triple: [Museum Plaza, architect, REX (architecture firm)]
  • A. REX Architecture
    REX Architecture is a New York–based architecture firm known for its innovative, performance-driven designs and high-profile cultural projects worldwide.
  • B. REX
    REX is a radio science experiment instrument aboard NASA's New Horizons spacecraft used to study the atmospheres and surfaces of planetary bodies through radio signal measurements.
  • C. REX chosen
    REX is an architecture firm known for its innovative, concept-driven building designs and influential contemporary projects.
  • D. REX
    REX is the radio callsign used by Rex Airlines, a major Australian regional carrier operating domestic passenger services.
  • E. REYES architecture
    REYES architecture is a high-performance rendering approach that efficiently subdivides and shades surfaces as micropolygons to produce high-quality images, widely used in film visual effects and animation.
  • 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb6137fc8190840b7c1275e62a1d completed April 27, 2026, 4:51 a.m.
Created at: April 16, 2026, 6:31 p.m.