Triple

T488704
Position Surface form Disambiguated ID Type / Status
Subject American University E9937 entity
Predicate memberOf P10 FINISHED
Object NAICU E48782 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: NAICU | Statement: [American University, memberOf, NAICU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NAICU
Context triple: [American University, memberOf, NAICU]
  • A. NAICU chosen
    NAICU (the National Association of Independent Colleges and Universities) is a U.S. organization that represents and advocates for private, nonprofit higher education institutions at the national level.
  • B. NIA
    NIA is a U.S. federal research institute within the National Institutes of Health that focuses on understanding aging and age-related diseases, including Alzheimer’s disease.
  • C. NAC
    The North Atlantic Council (NAC) is NATO’s principal political decision-making body, bringing together member states’ representatives to oversee and guide the alliance’s policies and operations.
  • D. NHPA
    NHPA is a landmark U.S. federal law that established the framework for preserving historic buildings, sites, and cultural resources nationwide.
  • E. NCP
    NCP (Network Control Protocol) was an early host-to-host communication protocol suite that enabled data exchange between computers on the ARPANET before the adoption of TCP/IP.
  • 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_69a2e802e2908190ab17c9479e0b6412 completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f0df764481909811d9483dfbc4aa completed Feb. 28, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a474738bb881908e5d0ff6a17301e8 completed March 1, 2026, 5:16 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.