Triple
T38505249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luo community |
E921745
|
entity |
| Predicate | countryOfSignificantPresence |
P19264
|
FINISHED |
| Object | Kenya |
E11292
|
NE 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: Kenya | Statement: [Luo community, countryOfSignificantPresence, Kenya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfSignificantPresence Context triple: [Luo community, countryOfSignificantPresence, Kenya]
-
A.
countryOrRegionOfPrevalence
Indicates the country or geographic region where something (such as a condition, practice, or phenomenon) is most commonly found or occurs most frequently.
-
B.
countryWithSignificantPopulation
chosen
Indicates that a country has a notably large or impactful number of people, relative to some defined threshold or comparison set.
-
C.
countrySignificance
Indicates the degree of importance, influence, or relevance that one country holds in relation to another entity or context.
-
D.
countryOfCulturalSignificance
Indicates that a country holds notable cultural importance or influence for a given entity, such as a person, group, object, or practice.
-
E.
coveredCountry
Indicates that one entity includes or provides coverage for the territory or jurisdiction of a specified country.
- F. None of above.
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_69f76ea3c5448190aa7002fc1ba3f874 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41ea825b2c8190a794e5184fd29f7f |
completed | June 29, 2026, 3:46 a.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.