Triple

T17124376
Position Surface form Disambiguated ID Type / Status
Subject Guédiawaye Department E415552 entity
Predicate hasMunicipality P847 FINISHED
Object Golf Sud E1251251 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: Golf Sud | Statement: [Guédiawaye Department, hasMunicipality, Golf Sud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golf Sud
Context triple: [Guédiawaye Department, hasMunicipality, Golf Sud]
  • A. Golf Sud chosen
    Golf Sud is an urban commune and residential neighborhood located in the Guédiawaye Department on the outskirts of Dakar, Senegal.
  • B. Fédération française de golf
    The Fédération française de golf is the national governing body responsible for organizing, promoting, and regulating the sport of golf in France.
  • C. Golf Club St. Leon-Rot
    Golf Club St. Leon-Rot is a prominent German golf facility near Heidelberg, known for its championship courses and strong support from SAP co-founder Dietmar Hopp.
  • D. The Golf League
    The Golf League is an organized competitive golf group associated with Jupiter Links Golf Club, where members regularly play and compete in structured events.
  • E. El Golf
    El Golf is a Santiago Metro station on Line 1 located in the upscale financial and commercial district of Las Condes, Santiago, Chile.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f025fce481908e261f2e363e14f9 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014147db18819083e6cfbb597687c1 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.