Triple
T19771948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NETL (Network Representation of Knowledge) |
E474907
|
entity |
| Predicate | knowledgeStructure |
P59349
|
FINISHED |
| Object | interconnected nodes |
—
|
LITERAL 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: interconnected nodes | Statement: [NETL (Network Representation of Knowledge), knowledgeStructure, interconnected nodes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knowledgeStructure Context triple: [NETL (Network Representation of Knowledge), knowledgeStructure, interconnected nodes]
-
A.
knowledgeType
Indicates the specific category or nature of knowledge associated with an entity or statement (e.g., factual, procedural, conceptual).
-
B.
knowledgeScope
Indicates the extent or range of information, topics, or understanding that an entity possesses or is concerned with.
-
C.
knowledgeOutput
Indicates that an entity produces, expresses, or makes available knowledge, information, or learned content as an output.
-
D.
haveKnowledgeSystem
chosen
Indicates that an entity possesses or maintains a structured system for organizing, storing, and accessing knowledge.
-
E.
knows
Indicates that one entity has knowledge or awareness of another entity or piece of information.
- F. None of above.
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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6535ce4d08190a1dfca2df95a8631 |
completed | April 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69e53053ed2881908400becdfada7fd3 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:48 p.m.