Triple
T1077219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OSPFv3 |
E23866
|
entity |
| Predicate | uses |
P98
|
FINISHED |
| Object | Dijkstra shortest path first algorithm |
E79781
|
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: Dijkstra shortest path first algorithm | Statement: [OSPFv3, uses, Dijkstra shortest path first algorithm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dijkstra shortest path first algorithm Context triple: [OSPFv3, uses, Dijkstra shortest path first algorithm]
-
A.
Dijkstra
chosen
Dijkstra is a renowned Dutch computer scientist best known for his pioneering work in algorithms, including Dijkstra's shortest path algorithm, and for his influential contributions to programming methodology and software engineering.
-
B.
BFS
BFS is the three-letter IATA airport code assigned to Belfast International Airport in Northern Ireland.
-
C.
LCA
LCA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Lucia.
-
D.
BGP
BGP (Border Gateway Protocol) is the primary inter-domain routing protocol used to exchange routing information and determine paths between autonomous systems on the global Internet.
-
E.
DAG
DAG is the National Rail station code for Dalgety Bay railway station in Fife, Scotland.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b94288d88190aae4fb86236c0702 |
completed | March 1, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac42abc7a08190a34f5b2d393db30e |
completed | March 7, 2026, 3:22 p.m. |
Created at: March 1, 2026, 7:42 p.m.