Triple

T11861321
Position Surface form Disambiguated ID Type / Status
Subject Military Selective Service Act E282163 entity
Predicate hasAbbreviation P43 FINISHED
Object MSSA E282163 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: MSSA | Statement: [Military Selective Service Act, hasAbbreviation, MSSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MSSA
Context triple: [Military Selective Service Act, hasAbbreviation, MSSA]
  • A. MSSA chosen
    MSSA is the commonly used abbreviation for the Military Selective Service Act, the U.S. federal law that governs the registration and potential conscription of individuals for military service.
  • B. MSS
    MSS is the Mobile Servicing System, a Canadian-built robotic arm and handling system used on the International Space Station for assembly, maintenance, and payload operations.
  • C. MSSS
    MSSS is the acronym for Quebec’s Ministry of Health and Social Services, the provincial government body responsible for overseeing public health care and social services.
  • D. MSA
    MSA is the standardized, literary form of Arabic used in formal writing, media, education, and official communication across the Arab world.
  • E. MSA
    MSA is a common abbreviation for a metropolitan statistical area, a region defined by the U.S. Office of Management and Budget for statistical and demographic analysis.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a69b16bc8190999a0c1240f9ce6a completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281745ca88190968e1f674d0e483c completed April 29, 2026, 10:08 p.m.
Created at: April 8, 2026, 9:43 p.m.