Triple

T5922789
Position Surface form Disambiguated ID Type / Status
Subject OpenJS Foundation E131736 entity
Predicate hostsProject P2592 FINISHED
Object Express
Express is a minimalist and flexible web application framework for Node.js, widely used for building APIs and server-side applications.
E559316 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: Express | Statement: [OpenJS Foundation, hostsProject, Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Express
Context triple: [OpenJS Foundation, hostsProject, Express]
  • A. Express
    "Express" is a popular song from the film and stage musical "Burlesque," known for its sultry style and association with Christina Aguilera’s performance.
  • B. Express
    Express is an American fashion retailer known for its trendy, youth-oriented apparel and accessories sold through mall-based stores and online.
  • C. EX
    EX is a UK postcode area covering Exeter and surrounding parts of Devon.
  • D. Emer
    Emer is a given name most notably borne by the 18th-century Swiss legal philosopher Emer de Vattel, known for his influential work on international law.
  • E. Em
    Em is a common shortened form of the given name Emma, often used as an informal nickname.
  • 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: Express
Triple: [OpenJS Foundation, hostsProject, Express]
Generated description
Express is a minimalist and flexible web application framework for Node.js, widely used for building APIs and server-side applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Express
Target entity description: Express is a minimalist and flexible web application framework for Node.js, widely used for building APIs and server-side applications.
  • A. Express
    "Express" is a popular song from the film and stage musical "Burlesque," known for its sultry style and association with Christina Aguilera’s performance.
  • B. Express
    Express is an American fashion retailer known for its trendy, youth-oriented apparel and accessories sold through mall-based stores and online.
  • C. EX
    EX is a UK postcode area covering Exeter and surrounding parts of Devon.
  • D. Emer
    Emer is a given name most notably borne by the 18th-century Swiss legal philosopher Emer de Vattel, known for his influential work on international law.
  • E. Em
    Em is a common shortened form of the given name Emma, often used as an informal nickname.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03804d9808190829a418adb7864aa completed March 22, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e39ea48c8190a968f81f0e26ccbf completed March 23, 2026, 6:54 a.m.
NEDg Description generation batch_69c0f602b79881909a6d971972f760b1 completed March 23, 2026, 8:12 a.m.
NED2 Entity disambiguation (via description) batch_69c0f6a75b908190b35d13b9593cf21f completed March 23, 2026, 8:15 a.m.
Created at: March 22, 2026, 4 p.m.