Triple
T380623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Candidate Recommendation |
E8669
|
entity |
| Predicate | mayResultIn |
P12716
|
FINISHED |
| Object | changes based on implementation feedback |
—
|
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: changes based on implementation feedback | Statement: [Candidate Recommendation, mayResultIn, changes based on implementation feedback]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayResultIn Context triple: [Candidate Recommendation, mayResultIn, changes based on implementation feedback]
-
A.
mayHold
Indicates that one entity is permitted or allowed to possess, contain, or maintain another entity.
-
B.
mayReportTo
Indicates that one entity is permitted or allowed to have a reporting relationship to another entity, such as an employee being allowed to report to a particular manager.
-
C.
mayExtendTo
Indicates that something has the potential or permission to reach, continue, or be applied up to a specified limit, scope, or boundary.
-
D.
mayMeet
Indicates that one entity is permitted or has the possibility to meet or come together with another entity.
-
E.
canAlsoBe
Indicates that something has an additional possible state, role, or classification beyond its primary one.
- F. None of above. chosen
Provenance (4 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec2c95088190a603bb1ee076ebd6 |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e964d4b481909290e474b0341e3c |
completed | Feb. 28, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69a2eae0bd7081908197bbf5c55fe647 |
completed | Feb. 28, 2026, 1:17 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.