Triple

T7974439
Position Surface form Disambiguated ID Type / Status
Subject Hunan University E185408 entity
Predicate partOf P40 FINISHED
Object Project 211 E35609 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 211 | Statement: [Hunan University, partOf, Project 211]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Project 211
Context triple: [Hunan University, partOf, Project 211]
  • A. Project 211 chosen
    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.
  • B. 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.
  • C. Project 985
    Project 985 is a Chinese government initiative launched in 1998 to develop a group of elite universities into world-class institutions through targeted funding and support.
  • D. Project 1950
    Project 1950 is a Misfits studio album featuring punk rock covers of classic 1950s and 1960s pop songs.
  • E. The Energy Project
    The Energy Project is a consulting and training firm that helps organizations improve performance and employee well-being by managing energy rather than time.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf42a508190bb661fce34ec0151 completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc9387aabc81909ca13ee6a51525f4 completed April 1, 2026, 3:39 a.m.
Created at: March 30, 2026, 5:14 p.m.