Triple

T22413928
Position Surface form Disambiguated ID Type / Status
Subject Maasdriel E554062 entity
Predicate ISO3166-2 P189 FINISHED
Object NL-MDR
NL-MDR is the ISO 3166-2 subdivision code assigned to the Dutch municipality of Maasdriel in the province of Gelderland.
E1536171 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: NL-MDR | Statement: [Maasdriel, ISO3166-2, NL-MDR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NL-MDR
Context triple: [Maasdriel, ISO3166-2, NL-MDR]
  • A. MDR
    MDR is the European Union’s comprehensive regulatory framework governing the safety, performance, and market approval of medical devices.
  • B. MDR
    MDR is the Amtrak station code for Madera station in Madera, California, used for passenger rail ticketing and scheduling.
  • C. NL-DR
    NL-DR is the ISO 3166-2 code designating the Dutch province of Drenthe.
  • D. NLMB
    NLMB is a Chicago-based street gang and rap collective closely linked to rapper G Herbo (Herbert Randall Wright III).
  • E. NL-NB
    NL-NB is the ISO 3166-2 code representing the Dutch province of North Brabant.
  • 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: NL-MDR
Triple: [Maasdriel, ISO3166-2, NL-MDR]
Generated description
NL-MDR is the ISO 3166-2 subdivision code assigned to the Dutch municipality of Maasdriel in the province of Gelderland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NL-MDR
Target entity description: NL-MDR is the ISO 3166-2 subdivision code assigned to the Dutch municipality of Maasdriel in the province of Gelderland.
  • A. MDR
    MDR is the European Union’s comprehensive regulatory framework governing the safety, performance, and market approval of medical devices.
  • B. MDR
    MDR is the Amtrak station code for Madera station in Madera, California, used for passenger rail ticketing and scheduling.
  • C. NL-DR
    NL-DR is the ISO 3166-2 code designating the Dutch province of Drenthe.
  • D. NLMB
    NLMB is a Chicago-based street gang and rap collective closely linked to rapper G Herbo (Herbert Randall Wright III).
  • E. NL-NB
    NL-NB is the ISO 3166-2 code representing the Dutch province of North Brabant.
  • 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15945486081908eb3a7b0441c0ef1 completed April 29, 2026, 1:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0af0e99ca48190ad93201035c819d6 completed May 18, 2026, 10:58 a.m.
NEDg Description generation batch_6a0af2c6151881908f85a7c3c751cea9 completed May 18, 2026, 11:06 a.m.
NED2 Entity disambiguation (via description) batch_6a0b08e411048190a368214c57c35d5e completed May 18, 2026, 12:41 p.m.
Created at: April 16, 2026, 8:46 p.m.