Triple

T28125141
Position Surface form Disambiguated ID Type / Status
Subject ISO/IEC 20000-6 E710905 entity
Predicate relatedTo P37 FINISHED
Object ISO/IEC 20000-1
ISO/IEC 20000-1 is the international standard that specifies requirements for establishing, implementing, maintaining, and continually improving an IT service management system.
E183355 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: ISO/IEC 20000-1 | Statement: [ISO/IEC 20000-6, relatedTo, ISO/IEC 20000-1]
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: ISO/IEC 20000-1
Triple: [ISO/IEC 20000-6, relatedTo, ISO/IEC 20000-1]
Generated description
ISO/IEC 20000-1 is the international standard that specifies requirements for establishing, implementing, maintaining, and continually improving an IT service management system.

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_69ef9b73bd288190a21ae3d6aa14f386 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f640fb767c819088c4253c3ac6739f completed May 2, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cb6c59f1c8190ac3354443d6b0d8d completed May 31, 2026, 10:31 p.m.
NEDg Description generation batch_6a1cb769c2a88190a3faeefe65a36089 completed May 31, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_6a1cb7c5b1c881908715bf1004d9e254 completed May 31, 2026, 10:35 p.m.
Created at: April 27, 2026, 9:19 p.m.