Triple
T23474861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugene, Missouri |
E570231
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Eugene, Missouri |
—
|
NE NERFINISHED |
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: Eugene, Missouri | Statement: [Eugene, Missouri, hasName, Eugene, Missouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eugene, Missouri Context triple: [Eugene, Missouri, hasName, Eugene, Missouri]
-
A.
Eugene, Missouri
chosen
Eugene, Missouri is a small unincorporated community in central Missouri located within Cole County.
-
B.
Eureka, Missouri
Eureka, Missouri is a suburban city in the Greater St. Louis area known for being home to the Six Flags St. Louis amusement park.
-
C.
Ewing, Missouri
Ewing, Missouri is a small rural community located in Lewis County in the northeastern part of the state.
-
D.
Ebbing, Missouri
Ebbing, Missouri is a fictional small town in the American Midwest, best known as the primary setting of the film "Three Billboards Outside Ebbing, Missouri."
-
E.
Estill, Missouri
Estill, Missouri is a small unincorporated community located in Howard County in the central part of the state.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a704e2a48190acb55f77a2124412 |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 6 p.m.