Triple

T10329205
Position Surface form Disambiguated ID Type / Status
Subject Open Web Platform E242834 entity
Predicate hasComponent P35 FINISHED
Object ARIA
ARIA (Accessible Rich Internet Applications) is a W3C specification that defines ways to make web content and applications more accessible to people with disabilities by adding semantic information to HTML.
 E856210 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: ARIA | Statement: [Open Web Platform, hasComponent, ARIA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ARIA
Context triple: [Open Web Platform, hasComponent, ARIA]
  • A. Aria
    Aria is an adult film in which actress Bridget Fonda made her debut in explicit cinema.
  • B. Aria
    Aria is a crash-safe, transactional storage engine used in MariaDB for efficient handling of complex queries and temporary tables.
  • C. Aria
    Aria is a popular song by Italian rock singer-songwriter Gianna Nannini.
  • D. ARA
    ARA is the station code for Ara Junction, a railway station in Bihar, India, on the Patna–Mughalsarai section of the Indian Railways network.
  • E. ARA
    ARA is the French administrative region of Auvergne-Rhône-Alpes, located in the southeast-central part of France and known for its diverse landscapes and major cities like Lyon and Grenoble.
  • 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: ARIA
Triple: [Open Web Platform, hasComponent, ARIA]
Generated description
ARIA (Accessible Rich Internet Applications) is a W3C specification that defines ways to make web content and applications more accessible to people with disabilities by adding semantic information to HTML.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ARIA
Target entity description: ARIA (Accessible Rich Internet Applications) is a W3C specification that defines ways to make web content and applications more accessible to people with disabilities by adding semantic information to HTML.
  • A. Aria
    Aria is an adult film in which actress Bridget Fonda made her debut in explicit cinema.
  • B. Aria
    Aria is a crash-safe, transactional storage engine used in MariaDB for efficient handling of complex queries and temporary tables.
  • C. Aria
    Aria is a popular song by Italian rock singer-songwriter Gianna Nannini.
  • D. ARA
    ARA is the station code for Ara Junction, a railway station in Bihar, India, on the Patna–Mughalsarai section of the Indian Railways network.
  • E. ARA
    ARA is the French administrative region of Auvergne-Rhône-Alpes, located in the southeast-central part of France and known for its diverse landscapes and major cities like Lyon and Grenoble.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7cfd54c8190b6f88598339536d1 completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71db4a8dc81909adb2a044e74fd6b completed April 9, 2026, 3:32 a.m.
NEDg Description generation batch_69d73189d7cc8190b81bb30994b3900f completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d7329891688190b5c1ec5906728f01 completed April 9, 2026, 5:01 a.m.
Created at: April 6, 2026, 11:52 a.m.