Triple

T12250067
Position Surface form Disambiguated ID Type / Status
Subject Little Brothers of Mary E291947 entity
Predicate hasAbbreviation P43 FINISHED
Object FMS E291948 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: FMS | Statement: [Little Brothers of Mary, hasAbbreviation, FMS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FMS
Context triple: [Little Brothers of Mary, hasAbbreviation, FMS]
  • A. FMS
    FMS refers to the U.S. Foreign Military Sales program, through which the U.S. government sells defense articles, services, and training to foreign governments and international organizations.
  • B. FMS chosen
    FMS is the post-nominal abbreviation used by members of the Marist Brothers, a Catholic religious institute dedicated to education and youth work.
  • C. FMSLogo
    FMSLogo is a free, open-source implementation of the Logo programming language designed primarily for educational use, especially in teaching programming concepts to children.
  • D. FMC
    FMC is the Spanish acronym for the Federation of Cuban Women, a mass organization in Cuba dedicated to advancing women's rights and gender equality.
  • E. FMC
    The FMC is an independent U.S. federal agency that regulates international ocean transportation to ensure a competitive and reliable maritime shipping system.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc6983c81909bf479d15879a357 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60abbf75c81908a25e1c0a4aee8c1 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:52 p.m.