Triple
T13739748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delaware County, Iowa |
E330051
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object | Greeley, Iowa |
E553287
|
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: Greeley, Iowa | Statement: [Delaware County, Iowa, hasCommunity, Greeley, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greeley, Iowa Context triple: [Delaware County, Iowa, hasCommunity, Greeley, Iowa]
-
A.
Greeley, Iowa
chosen
Greeley, Iowa is a small rural town in Delaware County in northeastern Iowa.
-
B.
Greenfield, Iowa
Greenfield, Iowa is a small city in southwestern Iowa known as the administrative and commercial hub of Adair County.
-
C.
Greenville, Iowa
Greenville, Iowa is a small rural city located in northwestern Iowa within the boundaries of Clay County.
-
D.
Denver, Iowa
Denver, Iowa is a small city in Bremer County known for its close-knit community, quality schools, and location within northeastern Iowa’s Cedar Valley region.
-
E.
Grinnell, Iowa
Grinnell, Iowa is a small city in central Iowa best known as the home of Grinnell College, a highly regarded liberal arts institution.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0206a4b88190a60914e2b43e54f9 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d6bce9881909209231f6dfcf9bf |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.