Triple

T6365747
Position Surface form Disambiguated ID Type / Status
Subject Kazuyo Sejima E143224 entity
Predicate notableWork P4 FINISHED
Object Rolex Learning Center E125673 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: Rolex Learning Center | Statement: [Kazuyo Sejima, notableWork, Rolex Learning Center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rolex Learning Center
Context triple: [Kazuyo Sejima, notableWork, Rolex Learning Center]
  • A. Rolex Learning Center chosen
    The Rolex Learning Center is a landmark library and student hub on the EPFL campus in Lausanne, renowned for its innovative undulating architecture and open learning spaces.
  • B. Rolex
    Rolex is a prestigious Swiss luxury watchmaker renowned worldwide for its high-end timepieces and strong association with elite sports and motorsport events.
  • C. Longines
    Longines is a Swiss luxury watchmaker renowned for its elegant timepieces and long-standing association with equestrian sports and precision timekeeping.
  • D. Hublot
    Hublot is a Swiss luxury watchmaker known for its bold, innovative designs and fusion of traditional watchmaking with modern materials.
  • E. IWC Schaffhausen
    IWC Schaffhausen is a Swiss luxury watch manufacturer renowned for its high-end mechanical timepieces that blend precision engineering with classic design.
  • 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_69c008d8c61081908bcaf61510d881ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c068106e18819087ed2e9841d2b365 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d7a1cbc8190a27a0a8e8b466ad5 completed March 27, 2026, 7:10 a.m.
Created at: March 22, 2026, 4:32 p.m.