Triple

T1712797
Position Surface form Disambiguated ID Type / Status
Subject SSAC E37219 entity
Predicate hasAcronym P43 FINISHED
Object SSAC E37219 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: SSAC | Statement: [SSAC, hasAcronym, SSAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SSAC
Context triple: [SSAC, hasAcronym, SSAC]
  • A. SSAC chosen
    SSAC is the Security and Stability Advisory Committee of ICANN, which provides expert guidance on the security and integrity of the Internet’s naming and address allocation systems.
  • B. RSSAC
    RSSAC is the Root Server System Advisory Committee of ICANN, responsible for advising on the operation, administration, security, and integrity of the Internet’s root server system.
  • C. SSA
    SSA is a professional scientific organization dedicated to advancing the study and understanding of earthquakes and seismic phenomena.
  • D. SSA
    SSA is the U.S. federal agency responsible for administering Social Security programs, including retirement, disability, and survivors benefits.
  • E. SACS
    SACS is a regional accrediting body in the United States that evaluates and certifies the quality and standards of educational institutions in the southern states.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa63174b3c8190bd2406c78407be28 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ae10a048190b7a39e4fb4fbe224 completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.