Triple

T18843738
Position Surface form Disambiguated ID Type / Status
Subject Góra County E460860 entity
Predicate hasCarPlatesCode P26915 FINISHED
Object DGR
DGR is the vehicle registration code assigned to Góra County in the Lower Silesian Voivodeship of Poland.
 E1346178 NE FINISHED

How this triple was built (4 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: DGR | Statement: [Góra County, hasCarPlatesCode, DGR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DGR
Context triple: [Góra County, hasCarPlatesCode, DGR]
  • A. DGP
    DGP is the highest-ranking police officer in an Indian state or union territory, responsible for overseeing the entire state police force.
  • B. DGAR
    DGAR is the abbreviated title for the Director General of Assam Rifles, the senior-most officer commanding India’s Assam Rifles paramilitary force.
  • C. DGF
    DGF is the vehicle registration code used for the Dingolfing-Landau district in Bavaria, Germany.
  • D. DGN
    DGN is a public high school in Downers Grove, Illinois, known for its strong academics, extracurricular programs, and community involvement.
  • E. DGG
    DGG is the station code for Dungog railway station in New South Wales, Australia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DGR
Triple: [Góra County, hasCarPlatesCode, DGR]
Generated description
DGR is the vehicle registration code assigned to Góra County in the Lower Silesian Voivodeship of Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DGR
Target entity description: DGR is the vehicle registration code assigned to Góra County in the Lower Silesian Voivodeship of Poland.
  • A. DGP
    DGP is the highest-ranking police officer in an Indian state or union territory, responsible for overseeing the entire state police force.
  • B. DGAR
    DGAR is the abbreviated title for the Director General of Assam Rifles, the senior-most officer commanding India’s Assam Rifles paramilitary force.
  • C. DGF
    DGF is the vehicle registration code used for the Dingolfing-Landau district in Bavaria, Germany.
  • D. DGN
    DGN is a public high school in Downers Grove, Illinois, known for its strong academics, extracurricular programs, and community involvement.
  • E. DGG
    DGG is the station code for Dungog railway station in New South Wales, Australia.
  • F. None of above. chosen

Provenance (5 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8ec8c5c8190b15e6394d0018573 completed April 20, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a056771ae7481909f8ae1ea8a00f559 completed May 14, 2026, 6:10 a.m.
NEDg Description generation batch_6a056f5d7c68819095e8dc260e15a9d9 completed May 14, 2026, 6:44 a.m.
NED2 Entity disambiguation (via description) batch_6a056fddc2f88190b1e57896292fe6af completed May 14, 2026, 6:46 a.m.
Created at: April 10, 2026, 11:56 a.m.