Triple
T17148082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NET |
E416145
|
entity |
| Predicate | revisionChange |
P43320
|
FINISHED |
| Object | simplified to focus on adjusted net efficiency and results-based components |
—
|
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: simplified to focus on adjusted net efficiency and results-based components | Statement: [NET, revisionChange, simplified to focus on adjusted net efficiency and results-based components]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revisionChange Context triple: [NET, revisionChange, simplified to focus on adjusted net efficiency and results-based components]
-
A.
revisionOf
Indicates that one entity is a modified or updated version of another earlier entity.
-
B.
revisionKnownAs
Indicates that a particular revision of an entity is referred to or identified by a specific alternative name or label.
-
C.
revisionMechanism
Indicates the method or process by which something is updated, corrected, or modified over time.
-
D.
decorChanges
Indicates that an entity alters or updates the decorative appearance or arrangement of another entity or environment.
-
E.
modification
chosen
Indicates a change made to an existing entity, altering its properties, structure, or state from a prior version.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f404f0e88190b7ac9ac523fdc7da |
completed | April 18, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.