Triple

T6115917
Position Surface form Disambiguated ID Type / Status
Subject Community of Sahel-Saharan States E136359 entity
Predicate shortName P43 FINISHED
Object COMESSA E162056 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: COMESSA | Statement: [Community of Sahel-Saharan States, shortName, COMESSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: COMESSA
Context triple: [Community of Sahel-Saharan States, shortName, COMESSA]
  • A. COMESSA chosen
    COMESSA is the French acronym for the Community of Sahel-Saharan States, a regional organization focused on economic integration and cooperation among countries in the Sahel and Sahara regions of Africa.
  • B. CEMO
    CEMO is a research center focused on advancing educational measurement, assessment, and related methodologies.
  • C. The Commission
    The Commission is the governing body of the American Mafia, historically composed of the bosses of the most powerful crime families who collectively set policy, resolve disputes, and oversee organized criminal activities in the United States.
  • D. Cesca
    Cesca is a feminine given name, commonly used as a short form of Francesca.
  • E. SERCOM
    SERCOM is the World Meteorological Organization commission responsible for coordinating international services and applications related to weather, climate, water, and the broader environment.
  • 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_69c0089ea6f88190b349be53e04b4f5f completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bc246e48190b4f3d52eb682aa45 completed March 22, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1256aa9f8819090fdc98343af6f8e completed March 23, 2026, 11:35 a.m.
Created at: March 22, 2026, 4:14 p.m.