Triple

T5922516
Position Surface form Disambiguated ID Type / Status
Subject Web APIs E131730 entity
Predicate example P1259 FINISHED
Object XMLHttpRequest API E19877 NE FINISHED

How this triple was built (2 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: XMLHttpRequest API | Statement: [Web APIs, example, XMLHttpRequest API]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XMLHttpRequest API
Context triple: [Web APIs, example, XMLHttpRequest API]
  • A. AJAX chosen
    AJAX is a web development technique that allows web pages to update content asynchronously by exchanging data with a server in the background without reloading the entire page.
  • B. Axios
    Axios is a digital media company known for its concise, bullet-point-driven coverage of politics, business, technology, and media.
  • C. HTTP
    HTTP (Hypertext Transfer Protocol) is the foundational application-layer protocol used for transmitting web pages and other resources across the World Wide Web.
  • D. DOM
    DOM is the three-letter ISO 3166-1 alpha-3 country code assigned to the Dominican Republic.
  • E. DOM
    The Document Object Model (DOM) is a platform- and language-neutral interface that represents structured documents like HTML and XML as a tree of objects, enabling programs and scripts to dynamically access and update their content and structure.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0c041d4f08190863141b037b1c05f completed March 23, 2026, 4:23 a.m.
Created at: March 22, 2026, 4 p.m.