Triple

T1785770
Position Surface form Disambiguated ID Type / Status
Subject Elle E39387 entity
Predicate hasEdition P35 FINISHED
Object Elle Indonesia
Elle Indonesia is the Indonesian edition of the international fashion and lifestyle magazine Elle, featuring content tailored to Indonesian readers and culture.
 E198243 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: Elle Indonesia | Statement: [Elle, hasEdition, Elle Indonesia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elle Indonesia
Context triple: [Elle, hasEdition, Elle Indonesia]
  • A. Paama
    Paama is an Oceanic language spoken primarily on Paama Island in central Vanuatu.
  • B. Hartini
    Hartini was the second wife of Indonesia’s first president, Sukarno, and a notable figure in mid-20th-century Indonesian social and political life.
  • C. Roro
    Roro is the ISO 15924 script code assigned to the undeciphered Rongorongo script of Easter Island.
  • D. Negaraku
    Negaraku is the national anthem of Malaysia, symbolizing the country's sovereignty and unity.
  • E. Bidayuh
    Bidayuh is an indigenous ethnic group of Borneo, primarily in Sarawak, Malaysia, known for its distinct languages, traditional longhouse culture, and rich agricultural and ritual practices.
  • 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: Elle Indonesia
Triple: [Elle, hasEdition, Elle Indonesia]
Generated description
Elle Indonesia is the Indonesian edition of the international fashion and lifestyle magazine Elle, featuring content tailored to Indonesian readers and culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elle Indonesia
Target entity description: Elle Indonesia is the Indonesian edition of the international fashion and lifestyle magazine Elle, featuring content tailored to Indonesian readers and culture.
  • A. Paama
    Paama is an Oceanic language spoken primarily on Paama Island in central Vanuatu.
  • B. Hartini
    Hartini was the second wife of Indonesia’s first president, Sukarno, and a notable figure in mid-20th-century Indonesian social and political life.
  • C. Roro
    Roro is the ISO 15924 script code assigned to the undeciphered Rongorongo script of Easter Island.
  • D. Negaraku
    Negaraku is the national anthem of Malaysia, symbolizing the country's sovereignty and unity.
  • E. Bidayuh
    Bidayuh is an indigenous ethnic group of Borneo, primarily in Sarawak, Malaysia, known for its distinct languages, traditional longhouse culture, and rich agricultural and ritual practices.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa650d304481908ad9bff3eadf7da6 completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9a476448190b072361fe4b41537 completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adab05cf6c81909f4713664f508ad9 completed March 8, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69adaeb20390819098bad8951ec00d00 completed March 8, 2026, 5:15 p.m.
Created at: March 4, 2026, 7:31 p.m.