Triple

T20217491
Position Surface form Disambiguated ID Type / Status
Subject Science City E495165 entity
Predicate name P16 FINISHED
Object Science City — 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: Science City | Statement: [Science City, name, Science City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Science City
Context triple: [Science City, name, Science City]
  • A. Science City
    Science City is a major development project transforming ETH Zurich’s Hönggerberg campus into an integrated hub for cutting-edge research, education, and innovation.
  • B. Science City
    Science City is an interactive science museum and educational center located at Union Station in Kansas City, Missouri.
  • C. Discovery Center of Science and Technology
    Discovery Center of Science and Technology was the original name of the Milton J. Rubenstein Museum of Science and Technology, a hands-on science and technology museum in Syracuse, New York.
  • D. Da Vinci Science City
    Da Vinci Science City is a planned science and technology museum complex inspired by Leonardo da Vinci’s legacy, designed to promote interactive learning and innovation.
  • E. Center of Science and Industry
    The Center of Science and Industry (COSI) is a large, hands-on science and technology museum in Columbus, Ohio, known for interactive exhibits and educational programs for all ages.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66edaeeb08190bb74bd4a10aceca2 completed April 20, 2026, 6:22 p.m.
Created at: April 11, 2026, 11:39 p.m.