Triple

T28619951
Position Surface form Disambiguated ID Type / Status
Subject MPEG-7 E724354 entity
Predicate hasPart P35 FINISHED
Object MPEG-7 Part 2 Description Definition Language
MPEG-7 Part 2 Description Definition Language is the XML-based schema language within the MPEG-7 standard used to formally define and structure multimedia content descriptions.
E1825260 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: MPEG-7 Part 2 Description Definition Language | Statement: [MPEG-7, hasPart, MPEG-7 Part 2 Description Definition Language]
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: MPEG-7 Part 2 Description Definition Language
Triple: [MPEG-7, hasPart, MPEG-7 Part 2 Description Definition Language]
Generated description
MPEG-7 Part 2 Description Definition Language is the XML-based schema language within the MPEG-7 standard used to formally define and structure multimedia content descriptions.

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_69f01d822ac08190932de59ec2268ed2 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f6524892d4819088dd0ae5aab08dff completed May 2, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cb70f7b008190b012a9e6dfd76d3c completed May 31, 2026, 10:32 p.m.
NEDg Description generation batch_6a1cba6346dc8190a7e92e045ccb035c completed May 31, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_6a1cbae69fcc819089e092d9f9a0e0ba completed May 31, 2026, 10:49 p.m.
Created at: April 28, 2026, 4:33 a.m.