Triple

T6823752
Position Surface form Disambiguated ID Type / Status
Subject Kumasi E156961 entity
Predicate roadConnection P385 FINISHED
Object Tamale E574512 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: Tamale | Statement: [Kumasi, roadConnection, Tamale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamale
Context triple: [Kumasi, roadConnection, Tamale]
  • A. Tamale chosen
    Tamale is the largest city in northern Ghana and a major administrative, commercial, and cultural hub for the surrounding region.
  • B. Menudo
    Menudo was a hugely popular Puerto Rican boy band formed in the late 1970s, known for its rotating lineup of young male singers and for launching the careers of several Latin pop stars.
  • C. Pastida
    Pastida is a small village on the Greek island of Rhodes, situated inland near the town of Ialysos and known for its traditional character and proximity to the island’s main tourist areas.
  • D. Canillejas
    Canillejas is a Madrid Metro station serving the Canillejas neighborhood in the San Blas-Canillejas district of Madrid, Spain.
  • E. TACO
    TACO is a peer-reviewed scientific journal published by the ACM that focuses on research in computer architecture and code optimization.
  • 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_69c688298a288190af3f285d57f76bbe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d580ca448190aa6d52908ca50e39 completed March 27, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723ee0e94819095a678e1073869d5 completed March 28, 2026, 12:42 a.m.
Created at: March 27, 2026, 2:18 p.m.