Triple

T12406287
Position Surface form Disambiguated ID Type / Status
Subject Bovenden E296395 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object E43140 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: GÖ | Statement: [Bovenden, vehicleRegistrationCode, GÖ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GÖ
Context triple: [Bovenden, vehicleRegistrationCode, GÖ]
  • A. chosen
    GÖ is the vehicle registration code used on license plates for the city and district of Göttingen in Germany.
  • B. Goé
    Goé is a village that forms one of the municipal sections of the town of Limbourg in the province of Liège, Belgium.
  • C. GOO
    GOO is the National Rail station code for Goole railway station in the East Riding of Yorkshire, England.
  • D. Göd
    Göd is a small town in Hungary situated along the Danube River, known for its residential character and proximity to Budapest.
  • E. Gou
    Gou is a Chinese surname most prominently associated with Terry Gou, the Taiwanese billionaire founder of Foxconn.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d48f1908190918551c794f98fe3 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63488cac08190a81b2151c827932e completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:55 p.m.