Triple
T26617484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junior Battle |
E668100
|
entity |
| Predicate | improvesIn |
P161052
|
FINISHED |
| Object | academic commitment |
—
|
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: academic commitment | Statement: [Junior Battle, improvesIn, academic commitment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: improvesIn Context triple: [Junior Battle, improvesIn, academic commitment]
-
A.
improvesIn
chosen
Indicates that one entity causes or contributes to an increase in quality, performance, or effectiveness in another entity or context.
-
B.
improvesOn
Indicates that one entity enhances, refines, or performs better than another entity, typically by addressing its limitations or increasing its effectiveness.
-
C.
hasImproved
Indicates that an entity’s state, quality, or performance has become better compared to a previous point in time.
-
D.
seeksToImprove
Indicates an intentional effort by one entity to make another entity or condition better than its current state.
-
E.
improvesAccessToward
Indicates that one entity enhances or facilitates the ability of another entity to reach, use, or benefit from a resource, service, or opportunity.
- 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_69ee9cfe16088190a3dddd68e3c7b1ea |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f61a17a7788190946f7e32d63cd43f |
completed | May 2, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69f611ab768c8190b1849c15a3e59dda |
completed | May 2, 2026, 3 p.m. |
Created at: April 27, 2026, 2:19 a.m.