Triple
T16680338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eldoret |
E405321
|
entity |
| Predicate | countryCapitalRankByPopulation |
P124227
|
FINISHED |
| Object | one of the largest towns in Kenya |
—
|
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: one of the largest towns in Kenya | Statement: [Eldoret, countryCapitalRankByPopulation, one of the largest towns in Kenya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryCapitalRankByPopulation Context triple: [Eldoret, countryCapitalRankByPopulation, one of the largest towns in Kenya]
-
A.
countryCapitalLocatedIn
Indicates that the capital city of a country is geographically situated within that country.
-
B.
nearestCapitalCity
Indicates that one city is the geographically closest capital city to a given location or entity compared to all other capital cities.
-
C.
countryCapitalRelation
Indicates that one entity is the capital city of the country represented by the other entity.
-
D.
countryCapitalOf
Indicates that a country serves as the capital location for a specified political or geographic entity.
-
E.
countryCapitalSince
Indicates that a specified city has served as the capital of a given country starting from a particular point in time.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6e74ec81909ea95c3e4b0113ab |
completed | April 18, 2026, 12:47 p.m. |
| PD | Predicate disambiguation | batch_69e319bc73908190a0e38bc926b31f10 |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326b9e84881909a9166e65bd850d6 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:19 a.m.