Triple

T14209557
Position Surface form Disambiguated ID Type / Status
Subject King Béhanzin E352190 entity
Predicate languageSpoken P151 FINISHED
Object Fon E171113 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: Fon | Statement: [King Béhanzin, languageSpoken, Fon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fon
Context triple: [King Béhanzin, languageSpoken, Fon]
  • A. Fon chosen
    Fon is a major Gbe language of West Africa, primarily spoken by the Fon people in Benin and neighboring countries.
  • B. Funka
    Funka is a small village in northern Poland known for its scenic lakeside setting and recreational access to Lake Charzykowskie.
  • C. Fung
    Fung is a common Cantonese romanization of the Chinese surname typically spelled "Feng" in Mandarin pinyin.
  • D. FUNO
    FUNO is the stock ticker symbol for Fibra Uno, one of Mexico’s largest real estate investment trusts (REITs) focused on commercial properties.
  • E. Fono
    The Fono is the bicameral legislative body of American Samoa, responsible for making territorial laws and overseeing local governance.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61fa8d24819092a8ec5d34c1c799 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd19557f908190abb3dc116676f215 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:05 a.m.