Triple

T28620025
Position Surface form Disambiguated ID Type / Status
Subject MPEG-21 E724355 entity
Predicate hasPart P35 FINISHED
Object MPEG-21 Part 9: File Format
MPEG-21 Part 9: File Format is a standardized digital container format within the MPEG-21 multimedia framework designed to package, store, and exchange complex digital items and their associated metadata.
E724355 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-21 Part 9: File Format | Statement: [MPEG-21, hasPart, MPEG-21 Part 9: File Format]
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-21 Part 9: File Format
Triple: [MPEG-21, hasPart, MPEG-21 Part 9: File Format]
Generated description
MPEG-21 Part 9: File Format is a standardized digital container format within the MPEG-21 multimedia framework designed to package, store, and exchange complex digital items and their associated metadata.

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.