Triple
T24086497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Efficient Baxter |
E596659
|
entity |
| Predicate | approachToTasks |
P52529
|
FINISHED |
| Object | streamlined |
—
|
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: streamlined | Statement: [The Efficient Baxter, approachToTasks, streamlined]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approachToTasks Context triple: [The Efficient Baxter, approachToTasks, streamlined]
-
A.
typicalTask
Indicates the kind of task or activity that is normally or characteristically performed by an entity.
-
B.
formsApproachTo
chosen
Indicates that one entity develops or establishes a particular method, strategy, or way of dealing with or addressing another entity or situation.
-
C.
targetTask
Indicates that one entity is the specific task or objective that another entity is aiming to perform, achieve, or operate on.
-
D.
approaches
Indicates that one entity moves closer in position or state to another entity or reference point.
-
E.
usedToApproach
Indicates that one entity employed another entity as a means or method to move closer to or reach a target entity or location.
- 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_69e288c4638c81909bacc28a1e3d436b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dc2a76c881908ee6e599dc6d155e |
completed | April 29, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 10:44 p.m.