Triple
T11137532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homa Bay District |
E263452
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Rodi Kopany
Rodi Kopany is a small town in western Kenya’s Homa Bay County, serving as a local commercial and transport hub for the surrounding rural area.
|
E907408
|
NE FINISHED |
How this triple was built (4 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: Rodi Kopany | Statement: [Homa Bay District, containsSettlement, Rodi Kopany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rodi Kopany Context triple: [Homa Bay District, containsSettlement, Rodi Kopany]
-
A.
Kornat
Kornat is the largest and most prominent island in Croatia’s Kornati archipelago, known for its rugged coastline and inclusion within Kornati National Park.
-
B.
Karniow
Karniow is the Polish name for the town of Jägerndorf, historically known as Krnov, in the Czech Republic.
-
C.
Kopaska
Kopaska is the Indonesian Navy’s elite frogman and special operations unit, specializing in underwater demolition, maritime sabotage, and counter-terrorism missions.
-
D.
Kopechne
Kopechne is the surname of Mary Jo Kopechne, the young political campaign specialist whose death in the 1969 Chappaquiddick incident became a major American political scandal.
-
E.
Kropinski
Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Rodi Kopany Triple: [Homa Bay District, containsSettlement, Rodi Kopany]
Generated description
Rodi Kopany is a small town in western Kenya’s Homa Bay County, serving as a local commercial and transport hub for the surrounding rural area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rodi Kopany Target entity description: Rodi Kopany is a small town in western Kenya’s Homa Bay County, serving as a local commercial and transport hub for the surrounding rural area.
-
A.
Kornat
Kornat is the largest and most prominent island in Croatia’s Kornati archipelago, known for its rugged coastline and inclusion within Kornati National Park.
-
B.
Karniow
Karniow is the Polish name for the town of Jägerndorf, historically known as Krnov, in the Czech Republic.
-
C.
Kopaska
Kopaska is the Indonesian Navy’s elite frogman and special operations unit, specializing in underwater demolition, maritime sabotage, and counter-terrorism missions.
-
D.
Kopechne
Kopechne is the surname of Mary Jo Kopechne, the young political campaign specialist whose death in the 1969 Chappaquiddick incident became a major American political scandal.
-
E.
Kropinski
Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
- F. None of above. chosen
Provenance (5 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e85f2ea48190bf1ff63af1d7d236 |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e442030b588190bc958030f30b648a |
completed | April 19, 2026, 2:46 a.m. |
| NEDg | Description generation | batch_69e44c09dd5c8190bddf3dd109a639ba |
completed | April 19, 2026, 3:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e451274ce48190a05f1d37f972c36c |
completed | April 19, 2026, 3:51 a.m. |
Created at: April 8, 2026, 9:28 p.m.