Triple

T37163858

Position	Surface form	Disambiguated ID	Type / Status
Subject	Vorbis	`E920743`	entity
Predicate	referenceEncoder	`P127370`	FINISHED
Object	libvorbis libvorbis is the open-source reference implementation library for encoding and decoding audio in the Vorbis (Ogg Vorbis) compressed audio format.	`E2215332`	NE FINISHED

How this triple was built (3 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: libvorbis | Statement: [Vorbis, referenceEncoder, libvorbis]

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: libvorbis
Triple: [Vorbis, referenceEncoder, libvorbis]

Generated description

libvorbis is the open-source reference implementation library for encoding and decoding audio in the Vorbis (Ogg Vorbis) compressed audio format.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: referenceEncoder
Context triple: [Vorbis, referenceEncoder, libvorbis]

A. openSourceReferenceEncoder chosen
Indicates that one entity serves as an open-source implementation or encoding reference for another entity.
B. usesEncoder
Indicates that one entity employs or relies on an encoder component or mechanism to perform its function or process data.
C. encodes
Indicates that one entity contains or represents the information, instructions, or structure of another in a coded or symbolic form.
D. relatedCodec
Indicates that one entity is associated with or corresponds to another through a shared or compatible codec used for encoding or decoding data.
E. encodedIn
Indicates that one entity is represented, stored, or expressed within another entity using a specific encoding or format.
F. None of above.

Provenance (6 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_69f76ea0429081908c711b55599eac3c`	completed	May 3, 2026, 3:49 p.m.
NER	Named-entity recognition	`batch_69fec8aef1d8819094c7fd7074038e6b`	completed	May 9, 2026, 5:39 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a402bba279c81908800321a32b6f2c5`	completed	June 27, 2026, 7:59 p.m.
NEDg	Description generation	`batch_6a402c6811ec8190826d548b0cb3e067`	completed	June 27, 2026, 8:02 p.m.
NED2	Entity disambiguation (via description)	`batch_6a402e1aa0f48190aab13b1e22d78014`	completed	June 27, 2026, 8:10 p.m.
PD	Predicate disambiguation	`batch_69fec639876481908efd84a3631a4271`	completed	May 9, 2026, 5:29 a.m.

Created at: May 3, 2026, 4:15 p.m.