Triple

T12324633
Position Surface form Disambiguated ID Type / Status
Subject Project 5-100 universities E293796 entity
Predicate partOf P40 FINISHED
Object Project 5-100 E293796 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: Project 5-100 | Statement: [Project 5-100 universities, partOf, Project 5-100]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Project 5-100
Context triple: [Project 5-100 universities, partOf, Project 5-100]
  • A. Project 1012
    Project 1012 is an urban renewal and zoning initiative in Amsterdam’s De Wallen red-light district aimed at reducing crime and transforming the area’s economic and social character.
  • B. Project 1950
    Project 1950 is a Misfits studio album featuring punk rock covers of classic 1950s and 1960s pop songs.
  • C. Project 211
    Project 211 is a Chinese government initiative launched to strengthen about 100 key universities and colleges in the 21st century by prioritizing them for additional funding and development.
  • D. TenThousand Projects
    TenThousand Projects is an independent record label known for releasing music by experimental and underground artists such as Gummo.
  • E. Project 5-100 universities chosen
    Project 5-100 universities are a group of leading Russian higher education institutions selected for a government initiative aimed at boosting their global competitiveness and international rankings.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4e7e588190b37e2413bc649198 completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e8d27288190bdf32acd600141db completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.