Triple

T4020723
Position Surface form Disambiguated ID Type / Status
Subject International DOI Foundation E91272 entity
Predicate hasMember P10 FINISHED
Object Airiti
Airiti is a Taiwan-based academic publishing and database service provider known for offering extensive Chinese-language scholarly content and digital library solutions.
 E406993 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: Airiti | Statement: [International DOI Foundation, hasMember, Airiti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Airiti
Context triple: [International DOI Foundation, hasMember, Airiti]
  • A. Paihuano
    Paihuano is a small town and commune in Chile’s Elqui Valley, known for its clear skies, pisco production, and astrotourism.
  • B. Putao
    Putao is a remote town in northern Myanmar’s Kachin State, known as a gateway for trekking and expeditions to the eastern Himalayas, including Hkakabo Razi.
  • C. Tayasan
    Tayasan is a coastal municipality in the province of Negros Oriental in the Philippines, known for its rural communities and agricultural economy.
  • D. Kaihui
    Kaihui is a Chinese given name most notably borne by Yang Kaihui, the revolutionary and early partner of Mao Zedong.
  • E. Wayin
    Wayin is a digital marketing and social media engagement platform co-founded by Sun Microsystems co-founder Scott McNealy.
  • 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: Airiti
Triple: [International DOI Foundation, hasMember, Airiti]
Generated description
Airiti is a Taiwan-based academic publishing and database service provider known for offering extensive Chinese-language scholarly content and digital library solutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Airiti
Target entity description: Airiti is a Taiwan-based academic publishing and database service provider known for offering extensive Chinese-language scholarly content and digital library solutions.
  • A. Paihuano
    Paihuano is a small town and commune in Chile’s Elqui Valley, known for its clear skies, pisco production, and astrotourism.
  • B. Putao
    Putao is a remote town in northern Myanmar’s Kachin State, known as a gateway for trekking and expeditions to the eastern Himalayas, including Hkakabo Razi.
  • C. Tayasan
    Tayasan is a coastal municipality in the province of Negros Oriental in the Philippines, known for its rural communities and agricultural economy.
  • D. Kaihui
    Kaihui is a Chinese given name most notably borne by Yang Kaihui, the revolutionary and early partner of Mao Zedong.
  • E. Wayin
    Wayin is a digital marketing and social media engagement platform co-founded by Sun Microsystems co-founder Scott McNealy.
  • 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_69aed9618b04819081750d979d2af098 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaca33e4819091957c7915857a42 completed March 9, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c7fd474819097766194ca8d165d completed March 14, 2026, 11:54 a.m.
NEDg Description generation batch_69b54dd51ef48190974bb190d32016bc completed March 14, 2026, noon
NED2 Entity disambiguation (via description) batch_69b54e498320819088fea96b83564c69 completed March 14, 2026, 12:02 p.m.
Created at: March 9, 2026, 3:35 p.m.