Triple
T15423491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wakenda, Missouri |
E369444
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Wakenda, Missouri |
E1080280
|
NE 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: Wakenda, Missouri | Statement: [Wakenda, Missouri, hasName, Wakenda, Missouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wakenda, Missouri Context triple: [Wakenda, Missouri, hasName, Wakenda, Missouri]
-
A.
Wakenda, Missouri
Wakenda, Missouri is a small unincorporated rural community located in Clinton County in the U.S. state of Missouri.
-
B.
Wakenda, Missouri
chosen
Wakenda, Missouri is a small unincorporated community located in Carroll County in the north-central region of the state.
-
C.
Waverly, Missouri
Waverly, Missouri is a small town in central Missouri along the Missouri River, historically known as an agricultural community.
-
D.
Wilcox, Missouri
Wilcox, Missouri is a small unincorporated rural community located in Nodaway County in the northwestern part of the state.
-
E.
Auxvasse, Missouri
Auxvasse, Missouri is a small city in central Missouri known for its rural character and location within Callaway County.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
Created at: April 10, 2026, 3:20 a.m.