Triple
T36151418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dijkstra's shortest path algorithm |
E1045595
|
entity |
| Predicate | notCorrectFor |
P17604
|
FINISHED |
| Object | graphs with negative edge weights |
—
|
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: graphs with negative edge weights | Statement: [Dijkstra's shortest path algorithm, notCorrectFor, graphs with negative edge weights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notCorrectFor Context triple: [Dijkstra's shortest path algorithm, notCorrectFor, graphs with negative edge weights]
-
A.
cannot
chosen
Indicates that one entity lacks the ability, permission, or possibility to perform an action or participate in a specified relationship with another entity.
-
B.
neDoitPasÊtreConfonduAvec
Indicates that one entity should not be mistaken for, or confused with, another distinct entity.
-
C.
by
Indicates that an action is performed, caused, or authored through the agency, means, or proximity of a specified entity.
-
D.
notSufficientFor
Indicates that the presence or occurrence of one condition does not by itself guarantee or bring about the other condition.
-
E.
for
Indicates a relationship in which something is intended for, directed toward, benefiting, or associated with a particular entity or purpose.
- 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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.