Triple

T8822411
Position Surface form Disambiguated ID Type / Status
Subject 黃仁勳 E209936 entity
Predicate educatedAt P5 FINISHED
Object 史丹佛大學 E2841 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: 史丹佛大學 | Statement: [黃仁勳, educatedAt, 史丹佛大學]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 史丹佛大學
Context triple: [黃仁勳, educatedAt, 史丹佛大學]
  • A. Stanford University chosen
    Stanford University is a prestigious private research university in the San Francisco Bay Area renowned for its academic excellence, innovation, and influence in technology and entrepreneurship.
  • B. Stanford
    Stanford is a small town in Dutchess County, New York, known for its rural character and scenic Hudson Valley landscapes.
  • C. Stanford
    Stanford is a masculine given name, most commonly used as a first name in English-speaking countries.
  • D. Standford
    Standford is a small village located within the East Hampshire district of Hampshire in southern England.
  • E. University of California, Berkeley
    The University of California, Berkeley is a leading public research university renowned for its academic excellence, groundbreaking innovation, and historic role in social and political movements.
  • 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_69ca8364e13081909c85fe80f44fe86f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc602ed87c8190ab772e5cbb2da68d completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cf6fd3b3348190a63bfd29860cc95f completed April 3, 2026, 7:44 a.m.
Created at: March 30, 2026, 6:46 p.m.