Triple

T18265488
Position Surface form Disambiguated ID Type / Status
Subject Salem, Baden-Württemberg E437471 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object FN NE NERFINISHED

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: FN | Statement: [Salem, Baden-Württemberg, vehicleRegistrationCode, FN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FN
Context triple: [Salem, Baden-Württemberg, vehicleRegistrationCode, FN]
  • A. FN chosen
    FN is the vehicle registration code used on license plates for vehicles registered in the German city of Friedrichshafen.
  • B. FN
    FN is a renowned Belgian firearms manufacturer known for producing military and civilian small arms used worldwide.
  • C. F.N
    "F.N" is a breakout drill-influenced hip-hop track by Lil Tjay that reflects on betrayal, violence, and survival in his rise from the streets.
  • D. FNJ
    FNJ is the IATA airport code for Pyongyang Sunan International Airport, the main international gateway to North Korea’s capital.
  • E. FP
    FP is the station code for Floral Park station on the Long Island Rail Road in New York.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff79851481909a4bbeb14fb00647 completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.