Triple

T29185221
Position Surface form Disambiguated ID Type / Status
Subject ICANN Audit Committee E739849 entity
Predicate isPartOf P10 FINISHED
Object ICANN Board committees
ICANN Board committees are specialized groups within the Internet Corporation for Assigned Names and Numbers’ governing board that handle focused oversight and policy responsibilities such as finance, audit, governance, and risk management.
E1852272 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: ICANN Board committees | Statement: [ICANN Audit Committee, isPartOf, ICANN Board committees]
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: ICANN Board committees
Triple: [ICANN Audit Committee, isPartOf, ICANN Board committees]
Generated description
ICANN Board committees are specialized groups within the Internet Corporation for Assigned Names and Numbers’ governing board that handle focused oversight and policy responsibilities such as finance, audit, governance, and risk management.

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_69f07cb74c2c8190ad396487fcb4fde6 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f66385d3a081908460881857d43322 completed May 2, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25507fe5748190804f226126c3a6b4 completed June 7, 2026, 11:05 a.m.
NEDg Description generation batch_6a25549e5c3c8190899233df2bb48176 completed June 7, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_6a25587d16288190b0e39bc035a540f0 completed June 7, 2026, 11:39 a.m.
Created at: April 28, 2026, 11:59 a.m.