Triple

T5747544
Position Surface form Disambiguated ID Type / Status
Subject West Edmonton Mall E126769 entity
Predicate hasAttraction P105 FINISHED
Object Santa Maria ship replica E42362 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: Santa Maria ship replica | Statement: [West Edmonton Mall, hasAttraction, Santa Maria ship replica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Maria ship replica
Context triple: [West Edmonton Mall, hasAttraction, Santa Maria ship replica]
  • A. Santa Maria de la mer
    "Santa Maria de la mer" is a popular French song famously performed by chanteuse Mireille Mathieu.
  • B. Santa María chosen
    Santa María was the largest of the three ships used by Christopher Columbus on his first voyage across the Atlantic in 1492.
  • C. Santa María
    Santa María is a town in northwestern Argentina known as an agricultural and archaeological center in the Calchaquí Valley region of Catamarca Province.
  • D. Santa María
    Santa María is a large stratovolcano in Guatemala known for its catastrophic 1902 eruption and ongoing activity at its Santiaguito lava dome complex.
  • E. Santa María
    Santa María is a small Chilean city and commune located in the Valparaíso Region, known for its agricultural activity within the Aconcagua Valley.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02885b0288190835809681a364b1f completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e30fe98819096ad6e09fbd463b5 completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.