Triple
T1791017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green City in the Sun |
E39494
|
entity |
| Predicate | hasCapitalDescribed |
P32419
|
FINISHED |
| Object | capital city of 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: capital city of Kenya | Statement: [Green City in the Sun, hasCapitalDescribed, capital city of Kenya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCapitalDescribed Context triple: [Green City in the Sun, hasCapitalDescribed, capital city of Kenya]
-
A.
hasCapital
Indicates that a place or political entity has a specific city designated as its capital.
-
B.
containsCapitalOf
Indicates that one location geographically includes the city that serves as the capital of another region or entity.
-
C.
hasCapitalRole
Indicates that an entity holds an official role, function, or status specifically associated with a capital city.
-
D.
hasCapitalType
Indicates that a specified location’s capital is of a particular type (e.g., political, administrative, or economic capital).
-
E.
isFinancialCapitalOf
Indicates that a city or region serves as the primary center for a country’s or area’s financial, banking, and economic market activities.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab75457e54819096b8c6ae8c65550c |
completed | March 7, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69aa61d165688190924962a98e07ff69 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab75444d28819091c393e62fc97f82 |
completed | March 7, 2026, 12:45 a.m. |
Created at: March 4, 2026, 7:32 p.m.