Triple
T16398720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lincoln Avenue, Wamego |
E398252
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
downtown Wamego
Downtown Wamego is the central business and cultural district of Wamego, Kansas, featuring local shops, restaurants, and community attractions.
|
E1209644
|
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: downtown Wamego | Statement: [Lincoln Avenue, Wamego, partOf, downtown Wamego]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: downtown Wamego Context triple: [Lincoln Avenue, Wamego, partOf, downtown Wamego]
-
A.
Wentworth, Missouri
Wentworth, Missouri is a small village located in southwestern Missouri within Newton County.
-
B.
Wakenda, Missouri
Wakenda, Missouri is a small unincorporated rural community located in Clinton County in the U.S. state of Missouri.
-
C.
Wakenda, Missouri
Wakenda, Missouri is a small unincorporated community located in Carroll County in the north-central region of the state.
-
D.
Waco, Missouri
Waco, Missouri is a small unincorporated community located in Jasper County in the southwestern part of the state.
-
E.
Waverly, Missouri
Waverly, Missouri is a small town in central Missouri along the Missouri River, historically known as an agricultural community.
- 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: downtown Wamego Triple: [Lincoln Avenue, Wamego, partOf, downtown Wamego]
Generated description
Downtown Wamego is the central business and cultural district of Wamego, Kansas, featuring local shops, restaurants, and community attractions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: downtown Wamego Target entity description: Downtown Wamego is the central business and cultural district of Wamego, Kansas, featuring local shops, restaurants, and community attractions.
-
A.
Wentworth, Missouri
Wentworth, Missouri is a small village located in southwestern Missouri within Newton County.
-
B.
Wakenda, Missouri
Wakenda, Missouri is a small unincorporated rural community located in Clinton County in the U.S. state of Missouri.
-
C.
Wakenda, Missouri
Wakenda, Missouri is a small unincorporated community located in Carroll County in the north-central region of the state.
-
D.
Waco, Missouri
Waco, Missouri is a small unincorporated community located in Jasper County in the southwestern part of the state.
-
E.
Waverly, Missouri
Waverly, Missouri is a small town in central Missouri along the Missouri River, historically known as an agricultural community.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327cdc62481909de144b09a921e63 |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00357838a88190be88c51f454be6eb |
completed | May 10, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_6a0035ea77dc8190bda37dac2710d0e3 |
completed | May 10, 2026, 7:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0036e53f2c81908f04a5e51870040c |
completed | May 10, 2026, 7:42 a.m. |
Created at: April 10, 2026, 5:09 a.m.