Triple
T28361260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenya (former provinces system) |
E718367
|
entity |
| Predicate | capitalOfWesternProvince |
P87043
|
FINISHED |
| Object |
Kakamega
Kakamega is a town in western Kenya known as a commercial and administrative center near the Kakamega Forest, the country’s only tropical rainforest.
|
E1815028
|
NE FINISHED |
How this triple was built (3 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: Kakamega | Statement: [Kenya (former provinces system), capitalOfWesternProvince, Kakamega]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kakamega Triple: [Kenya (former provinces system), capitalOfWesternProvince, Kakamega]
Generated description
Kakamega is a town in western Kenya known as a commercial and administrative center near the Kakamega Forest, the country’s only tropical rainforest.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalOfWesternProvince Context triple: [Kenya (former provinces system), capitalOfWesternProvince, Kakamega]
-
A.
capitalOfEasternProvince
Indicates that one entity serves as the capital city or administrative center of a specified eastern province.
-
B.
provinceCapitalOfProvince
chosen
Indicates that one entity is the capital city of a specified province.
-
C.
capitalOfSeniorateProvince
Indicates that a city serves as the capital of a specified seniorate province within a political or administrative system.
-
D.
countryCapitalOfProvince
Indicates that a country serves as the capital or primary administrative center of a specified province.
-
E.
countryCapitalProvince
Indicates that a given province serves as the capital administrative region of a specified country.
- F. None of above.
Provenance (6 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_69eff6ed5af48190be4e0adf298223e0 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1627cd57b08190a4ebe241e1028de0 |
completed | May 26, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_6a16296c415481909d07531b0f111069 |
completed | May 26, 2026, 11:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a162ae322588190b466b7f0783cca82 |
completed | May 26, 2026, 11:21 p.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 28, 2026, 12:52 a.m.