Triple

T13456651
Position Surface form Disambiguated ID Type / Status
Subject Gold Medal for Architecture E311252 entity
Predicate notableRecipient P108 FINISHED
Object SANAA E143225 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: SANAA | Statement: [Gold Medal for Architecture, notableRecipient, SANAA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SANAA
Context triple: [Gold Medal for Architecture, notableRecipient, SANAA]
  • A. SANAA chosen
    SANAA is a renowned Japanese architectural firm, led by Kazuyo Sejima and Ryue Nishizawa, celebrated for its minimalist, light-filled designs and influential contemporary projects worldwide.
  • B. Sanaa
    Sanaa is a table-service restaurant at Disney’s Animal Kingdom Lodge known for its African-inspired cuisine with Indian flavors and savanna views of roaming wildlife.
  • C. Sanaʽa
    Sanaʽa is the historic capital and one of the largest cities of Yemen, renowned for its ancient architecture and cultural significance in the Arabian Peninsula.
  • D. Aden
    Aden is a strategic port city in Yemen located on the Gulf of Aden, historically significant as a major maritime hub and former British colonial stronghold.
  • E. Salalah
    Salalah is a coastal city in southern Oman known for its monsoon-cooled climate, lush green landscapes, and role as a regional tourism and commercial hub.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf0a75008190a508060c85f73604 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7547d4f20819096765e125396e471 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:41 p.m.