Triple
T10784919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyushu University Medical Library |
E254426
|
entity |
| Predicate | networkAccess |
P33694
|
FINISHED |
| Object | campus network of Kyushu University |
—
|
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: campus network of Kyushu University | Statement: [Kyushu University Medical Library, networkAccess, campus network of Kyushu University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkAccess Context triple: [Kyushu University Medical Library, networkAccess, campus network of Kyushu University]
-
A.
network
Indicates that one entity is connected to or interacts with another through a system of relationships, communication, or information exchange.
-
B.
networkRequirement
chosen
Indicates that one entity requires access to or use of another entity’s network resources or connectivity to function or be fulfilled.
-
C.
networkService
Indicates that one entity provides or participates in a network-based service or functionality for another entity or system.
-
D.
networkSection
Indicates that one entity represents a specific section, segment, or subdivision within a larger network structure.
-
E.
inNetwork
Indicates that one entity is within the same defined network, system, or coverage group as another entity, such that network-based interactions or benefits apply between them.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732d2e7cc8190a4cb9a4d7c76ab15 |
completed | April 9, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69d6f316940c819092a96c429629fdef |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:17 p.m.