Triple
T28606760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menengai Crater |
E724072
|
entity |
| Predicate | countryProjectOwner |
P144510
|
FINISHED |
| Object | Government of Kenya |
—
|
NE NERFINISHED |
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 of Kenya | Statement: [Menengai Crater, countryProjectOwner, Government of Kenya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryProjectOwner Context triple: [Menengai Crater, countryProjectOwner, Government of Kenya]
-
A.
parentProject
Indicates that one project serves as the direct higher-level or containing project in relation to another project.
-
B.
programOwner
Indicates that one entity is the primary responsible owner or controller of a particular program associated with another entity.
-
C.
stateProject
chosen
Indicates that a project is initiated, funded, or directly administered by a governmental state authority.
-
D.
byProjectOf
Indicates that something is created, produced, or carried out by a specific project or initiative.
-
E.
teamOwner
Indicates that one entity holds ownership or controlling stake over a team.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fe744faca881908e11e90e0a35653f |
completed | May 8, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69fe734cbf7081909a552c5cf3b5ea59 |
completed | May 8, 2026, 11:35 p.m. |
Created at: April 28, 2026, 4:27 a.m.