Triple
T21802610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LSP PDU |
E538272
|
entity |
| Predicate | topologyModel |
P33685
|
FINISHED |
| Object | link-state database |
—
|
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: link-state database | Statement: [LSP PDU, topologyModel, link-state database]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topologyModel Context triple: [LSP PDU, topologyModel, link-state database]
-
A.
usesTopology
chosen
Indicates that one entity employs, is based on, or operates according to a particular topology defined or provided by another entity.
-
B.
topologyEffect
Indicates that one entity’s spatial or network topology causes or influences a change in the behavior, properties, or outcomes of another entity or system.
-
C.
typicalTopology
Indicates the usual or most common network or structural arrangement that characterizes how the related entities are organized or interconnected.
-
D.
isTopological
Indicates that something possesses the properties or structure required to be considered a topology in the relevant mathematical or spatial context.
-
E.
topologically
Indicates a relationship or property considered in terms of the continuity, connectivity, or shape-preserving structure of spaces, rather than their exact geometric measurements.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0780062688190a6c3a2a0364f0f77 |
completed | April 28, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:53 p.m.