Triple

T20564843
Position Surface form Disambiguated ID Type / Status
Subject EYD E504940 entity
Predicate replaced P101 FINISHED
Object Ejaan van Ophuijsen
Ejaan van Ophuijsen was the former official Indonesian spelling system for the Malay/Indonesian language used during the Dutch colonial period and early independence era.
E1438728 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: Ejaan van Ophuijsen | Statement: [EYD, replaced, Ejaan van Ophuijsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ejaan van Ophuijsen
Context triple: [EYD, replaced, Ejaan van Ophuijsen]
  • A. Bete Denagel
    Bete Denagel is one of the rock-hewn monolithic churches in the historic Ethiopian town of Lalibela, renowned for its medieval Christian architecture and religious significance.
  • B. Jan Heemskerk
    Jan Heemskerk was a 19th-century Dutch liberal politician who served multiple terms as Prime Minister of the Netherlands.
  • C. Jan Schippers
    Jan Schippers is a notable individual recognized for bearing the Dutch surname Schippers.
  • D. Dani van Velthoven
    Dani van Velthoven is a Dutch singer who gained national fame after winning the popular televised talent competition The Voice of Holland.
  • E. Jan Kleyna
    Jan Kleyna is an astronomer known for discovering small outer moons of Jupiter and contributing to the study of planetary satellites.
  • 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: Ejaan van Ophuijsen
Triple: [EYD, replaced, Ejaan van Ophuijsen]
Generated description
Ejaan van Ophuijsen was the former official Indonesian spelling system for the Malay/Indonesian language used during the Dutch colonial period and early independence era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ejaan van Ophuijsen
Target entity description: Ejaan van Ophuijsen was the former official Indonesian spelling system for the Malay/Indonesian language used during the Dutch colonial period and early independence era.
  • A. Bete Denagel
    Bete Denagel is one of the rock-hewn monolithic churches in the historic Ethiopian town of Lalibela, renowned for its medieval Christian architecture and religious significance.
  • B. Jan Heemskerk
    Jan Heemskerk was a 19th-century Dutch liberal politician who served multiple terms as Prime Minister of the Netherlands.
  • C. Jan Schippers
    Jan Schippers is a notable individual recognized for bearing the Dutch surname Schippers.
  • D. Dani van Velthoven
    Dani van Velthoven is a Dutch singer who gained national fame after winning the popular televised talent competition The Voice of Holland.
  • E. Jan Kleyna
    Jan Kleyna is an astronomer known for discovering small outer moons of Jupiter and contributing to the study of planetary satellites.
  • 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a7a15c988190ba93823df119ca4d completed April 20, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08acde0880819091934642e4440621 completed May 16, 2026, 5:43 p.m.
NEDg Description generation batch_6a08adf778fc819087fa57048192829e completed May 16, 2026, 5:48 p.m.
NED2 Entity disambiguation (via description) batch_6a08aeaf2be88190bac218c7de1544fc completed May 16, 2026, 5:51 p.m.
Created at: April 16, 2026, 11:39 a.m.