Triple

T14889088
Position Surface form Disambiguated ID Type / Status
Subject Assut de l'Or Bridge E359705 entity
Predicate category P87 FINISHED
Object Santiago Calatrava structures E82935 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: Santiago Calatrava structures | Statement: [Assut de l'Or Bridge, category, Santiago Calatrava structures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santiago Calatrava structures
Context triple: [Assut de l'Or Bridge, category, Santiago Calatrava structures]
  • A. Santiago Calatrava chosen
    Santiago Calatrava is a renowned Spanish architect, structural engineer, and sculptor known for his futuristic, sculptural buildings and bridges that often feature sweeping white forms and innovative engineering.
  • B. José María Calatrava
    José María Calatrava was a Spanish liberal politician and jurist who served as Prime Minister during the early 19th century constitutional period.
  • C. Torre Calatrava
    Torre Calatrava is a striking, futuristic telecommunications tower in Barcelona designed by architect Santiago Calatrava for the 1992 Olympic Games.
  • D. Urquiola
    Urquiola is the surname of Patricia Urquiola, a renowned Spanish architect and industrial designer known for her innovative furniture and interior designs.
  • E. Gaudi
    Gaudi is Habana Labs’ AI training processor designed to accelerate deep learning workloads with high performance and efficiency.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f6cf5c8190b6b28f58fafe5d59 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72aedae081909616f4aca3a44c92 completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:09 a.m.