Triple
T15423490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wakenda, Missouri |
E369444
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
Wakenda
Wakenda is a small unincorporated community in Carroll County, Missouri, in the United States.
|
E1155789
|
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: Wakenda | Statement: [Wakenda, Missouri, hasName, Wakenda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wakenda Context triple: [Wakenda, Missouri, hasName, Wakenda]
-
A.
Etiwanda
Etiwanda is a historic former community in Southern California, now part of the city of Rancho Cucamonga, known for its early role in citrus agriculture and irrigation development.
-
B.
Wondo
Wondo is the nickname of Chris Wondolowski, a prolific American soccer forward best known for his record-breaking goal-scoring career in Major League Soccer with the San Jose Earthquakes.
-
C.
Madekwe
Madekwe is a surname most notably associated with English actor Archie Madekwe, known for his roles in film and television.
-
D.
Wandzia
Wandzia is a Polish diminutive form of the female given name Wanda, used as an affectionate or familiar nickname.
-
E.
Khwe
The Khwe are an indigenous San people of southern Africa, traditionally semi-nomadic hunter-gatherers living mainly in the Okavango and Caprivi regions of Botswana and Namibia.
- 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: Wakenda Triple: [Wakenda, Missouri, hasName, Wakenda]
Generated description
Wakenda is a small unincorporated community in Carroll County, Missouri, in the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wakenda Target entity description: Wakenda is a small unincorporated community in Carroll County, Missouri, in the United States.
-
A.
Etiwanda
Etiwanda is a historic former community in Southern California, now part of the city of Rancho Cucamonga, known for its early role in citrus agriculture and irrigation development.
-
B.
Wondo
Wondo is the nickname of Chris Wondolowski, a prolific American soccer forward best known for his record-breaking goal-scoring career in Major League Soccer with the San Jose Earthquakes.
-
C.
Madekwe
Madekwe is a surname most notably associated with English actor Archie Madekwe, known for his roles in film and television.
-
D.
Wandzia
Wandzia is a Polish diminutive form of the female given name Wanda, used as an affectionate or familiar nickname.
-
E.
Khwe
The Khwe are an indigenous San people of southern Africa, traditionally semi-nomadic hunter-gatherers living mainly in the Okavango and Caprivi regions of Botswana and Namibia.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec032548190840b558dde6057c7 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a7d02a08190a1e34e3a014acea9 |
completed | May 9, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_69ff1b3c563481908418411a977df343 |
completed | May 9, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1c0ad5448190903dc38f78512f3b |
completed | May 9, 2026, 11:35 a.m. |
Created at: April 10, 2026, 3:20 a.m.