Triple
T9068274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simple Knowledge Organization System |
E217298
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Simple Knowledge Organization System |
E217298
|
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: Simple Knowledge Organization System | Statement: [Simple Knowledge Organization System, fullName, Simple Knowledge Organization System]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simple Knowledge Organization System Context triple: [Simple Knowledge Organization System, fullName, Simple Knowledge Organization System]
-
A.
Simple Knowledge Organization System
chosen
The Simple Knowledge Organization System (SKOS) is a W3C standard model for representing and sharing knowledge organization systems such as thesauri, classification schemes, and taxonomies on the Semantic Web.
-
B.
“A System for Representing and Using Real-World Knowledge”
“A System for Representing and Using Real-World Knowledge” is a seminal AI research paper by John McCarthy that introduces a logical framework for representing commonsense knowledge about the real world.
-
C.
Global Open Knowledgebase (GOKb) collaboration
The Global Open Knowledgebase (GOKb) collaboration is an international, community-driven initiative that provides open, curated metadata about electronic resources to support library and scholarly communication workflows.
-
D.
NETL: A System for Representing and Using Real-World Knowledge
NETL: A System for Representing and Using Real-World Knowledge is an influential early work in artificial intelligence that introduces a network-based framework for encoding and reasoning about commonsense knowledge.
-
E.
NETL knowledge representation system
The NETL knowledge representation system is an AI framework developed by Scott Fahlman for representing and reasoning about natural language knowledge in a structured, machine-interpretable form.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc94bf4f2881908c881e6ee7203994 |
completed | April 1, 2026, 3:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffddc5c288190b18c2ae1aece4ed6 |
completed | April 3, 2026, 5:50 p.m. |
Created at: March 30, 2026, 7:11 p.m.