Triple

T18828535
Position Surface form Disambiguated ID Type / Status
Subject Romijn E460459 entity
Predicate hasAlternativeTransliteration P5923 FINISHED
Object Romeijn
Romeijn is a Dutch surname, often seen as a variant of "Romijn," borne by various individuals in the Netherlands and abroad.
E1344622 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: Romeijn | Statement: [Romijn, hasAlternativeTransliteration, Romeijn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romeijn
Context triple: [Romijn, hasAlternativeTransliteration, Romeijn]
  • A. Jasaan
    Jasaan is a coastal municipality in Misamis Oriental, Philippines, known for its beaches, marine resources, and proximity to the urban center of Cagayan de Oro.
  • B. Huldenberg
    Huldenberg is a rural municipality in the Flemish Brabant province of Belgium, known for its hilly landscape, forests, and residential villages near Brussels.
  • C. Landsmeer
    Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
  • D. Toorop
    Toorop is the surname of Jan Toorop, a prominent Dutch-Indonesian painter associated with Symbolism and Art Nouveau.
  • E. Gelderlander
    Gelderlander is a regional Dutch newspaper based in the province of Gelderland.
  • 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: Romeijn
Triple: [Romijn, hasAlternativeTransliteration, Romeijn]
Generated description
Romeijn is a Dutch surname, often seen as a variant of "Romijn," borne by various individuals in the Netherlands and abroad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Romeijn
Target entity description: Romeijn is a Dutch surname, often seen as a variant of "Romijn," borne by various individuals in the Netherlands and abroad.
  • A. Jasaan
    Jasaan is a coastal municipality in Misamis Oriental, Philippines, known for its beaches, marine resources, and proximity to the urban center of Cagayan de Oro.
  • B. Huldenberg
    Huldenberg is a rural municipality in the Flemish Brabant province of Belgium, known for its hilly landscape, forests, and residential villages near Brussels.
  • C. Landsmeer
    Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
  • D. Toorop
    Toorop is the surname of Jan Toorop, a prominent Dutch-Indonesian painter associated with Symbolism and Art Nouveau.
  • E. Gelderlander
    Gelderlander is a regional Dutch newspaper based in the province of Gelderland.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a99554848190933dd2810f5c810f completed April 20, 2026, 4:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a055bd216d881908bee50901656372e completed May 14, 2026, 5:21 a.m.
NEDg Description generation batch_6a0561e6500c8190b42d8257180ad7a6 completed May 14, 2026, 5:47 a.m.
NED2 Entity disambiguation (via description) batch_6a05623b880c81908fedf88e6a79ac31 completed May 14, 2026, 5:48 a.m.
Created at: April 10, 2026, 11:56 a.m.