Triple
T10924578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alego Kogelo |
E258031
|
entity |
| Predicate | hasDevelopmentProjects |
P14971
|
FINISHED |
| Object | government-funded infrastructure improvements |
—
|
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: government-funded infrastructure improvements | Statement: [Alego Kogelo, hasDevelopmentProjects, government-funded infrastructure improvements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDevelopmentProjects Context triple: [Alego Kogelo, hasDevelopmentProjects, government-funded infrastructure improvements]
-
A.
hasProject
chosen
Indicates that an entity is associated with or responsible for a particular project.
-
B.
hasDevelopmentStatus
Indicates the current stage or condition of progress or completion that something is in.
-
C.
hasNotableProject
Indicates that an entity is associated with a project that is distinguished or recognized as significant in some way.
-
D.
hasComponentDevelopment
Indicates that an entity is involved in or responsible for the development of one or more of its components.
-
E.
hasDevelopmentType
Indicates the type or category of development associated with an entity, such as the nature, form, or stage of its development.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7708f7ab48190b60a4bb8fdb17c8e |
completed | April 9, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69d72e799f808190b6ab64fc7586a303 |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:22 p.m.