Triple
T4255215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swan, Iowa |
E95956
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Swan, Iowa |
E95956
|
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: Swan, Iowa | Statement: [Swan, Iowa, hasName, Swan, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swan, Iowa Context triple: [Swan, Iowa, hasName, Swan, Iowa]
-
A.
Swan, Iowa
chosen
Swan, Iowa is a small rural city located in Marion County in the south-central part of the state.
-
B.
Williamson, Iowa
Williamson, Iowa is a small unincorporated rural community located in Lucas County in the south-central part of the state.
-
C.
Hudson, Iowa
Hudson, Iowa is a small city in northeastern Iowa that functions as a suburban community within the Waterloo–Cedar Falls metropolitan area.
-
D.
Waverly, Iowa
Waverly, Iowa is a small city in northeastern Iowa known as the county seat of Bremer County and home to Wartburg College.
-
E.
Sibley, Iowa
Sibley, Iowa is a small city in northwestern Iowa that serves as the administrative and commercial hub of Osceola 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ec036e8819087d8585170707545 |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a887703c81909a40f23f83154b8c |
completed | March 14, 2026, 6:27 p.m. |
Created at: March 12, 2026, 11:06 p.m.