Triple

T5895211
Position Surface form Disambiguated ID Type / Status
Subject FeathersJS E131083 entity
Predicate compatibleWith P203 FINISHED
Object Koa (via adapters)
Koa (via adapters) is a lightweight, modern Node.js web framework that can be integrated with FeathersJS through adapters to provide a flexible HTTP server layer for building APIs and web applications.
E553140 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: Koa (via adapters) | Statement: [FeathersJS, compatibleWith, Koa (via adapters)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koa (via adapters)
Context triple: [FeathersJS, compatibleWith, Koa (via adapters)]
  • A. KOA
    KOA is the three-letter IATA airport code for Kona International Airport on the island of Hawaiʻi.
  • B. KCO
    KCO is the abbreviated name commonly used for the Royal Concertgebouw Orchestra, one of the world’s leading symphony orchestras based in Amsterdam.
  • C. Koht
    Koht is a Norwegian surname most notably associated with historian and politician Halvdan Koht.
  • D. KOJ
    KOJ is the three-letter IATA airport code for Kagoshima Airport in Kagoshima Prefecture, Japan.
  • E. KOKSH
    KOKSH is the Albanian National Olympic Committee responsible for organizing the country's participation in the Olympic Games and promoting the Olympic movement in Albania.
  • 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: Koa (via adapters)
Triple: [FeathersJS, compatibleWith, Koa (via adapters)]
Generated description
Koa (via adapters) is a lightweight, modern Node.js web framework that can be integrated with FeathersJS through adapters to provide a flexible HTTP server layer for building APIs and web applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Koa (via adapters)
Target entity description: Koa (via adapters) is a lightweight, modern Node.js web framework that can be integrated with FeathersJS through adapters to provide a flexible HTTP server layer for building APIs and web applications.
  • A. KOA
    KOA is the three-letter IATA airport code for Kona International Airport on the island of Hawaiʻi.
  • B. KCO
    KCO is the abbreviated name commonly used for the Royal Concertgebouw Orchestra, one of the world’s leading symphony orchestras based in Amsterdam.
  • C. Koht
    Koht is a Norwegian surname most notably associated with historian and politician Halvdan Koht.
  • D. KOJ
    KOJ is the three-letter IATA airport code for Kagoshima Airport in Kagoshima Prefecture, Japan.
  • E. KOKSH
    KOKSH is the Albanian National Olympic Committee responsible for organizing the country's participation in the Olympic Games and promoting the Olympic movement in Albania.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036f3364c81909353f62ca483f24f completed March 22, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b1558fa48190a6ecde69c1477863 completed March 23, 2026, 3:19 a.m.
NEDg Description generation batch_69c0b2442bf881908aeaecb46463e32d completed March 23, 2026, 3:23 a.m.
NED2 Entity disambiguation (via description) batch_69c0b2bc8b9c8190ab642d317056b1de completed March 23, 2026, 3:25 a.m.
Created at: March 22, 2026, 3:58 p.m.