Triple

T7879377
Position Surface form Disambiguated ID Type / Status
Subject Ga-Dangme E182937 entity
Predicate majorUrbanCenter P9892 FINISHED
Object Ada Foah E185936 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: Ada Foah | Statement: [Ga-Dangme, majorUrbanCenter, Ada Foah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ada Foah
Context triple: [Ga-Dangme, majorUrbanCenter, Ada Foah]
  • A. Ada Foah chosen
    Ada Foah is a coastal town in southeastern Ghana known for its beaches, estuary scenery, and role as a local fishing and tourism center.
  • B. Nnamdi Asomugha
    Nnamdi Asomugha is a former NFL cornerback, best known for his standout years with the Oakland Raiders and later work as a film producer and actor.
  • C. Warren Sapp
    Warren Sapp is a Hall of Fame former NFL defensive tackle renowned for his dominant play with the Tampa Bay Buccaneers and his role in their Super Bowl XXXVII victory.
  • D. Dwight Freeney
    Dwight Freeney is a former NFL defensive end renowned for his dominant pass-rushing skills, particularly with the Indianapolis Colts, and is considered one of the premier edge rushers of his era.
  • E. Alan Robinson
    Alan Robinson is a co-founder of WET Design, a prominent water feature design firm known for creating iconic fountains and water displays worldwide.
  • 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39be7ab88190affcd353a0cd37fa completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b86c20081909aa029cda7c48d44 completed March 31, 2026, 5:28 a.m.
Created at: March 30, 2026, 4:57 p.m.