Triple
T8750783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Iowa |
E207951
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Greenfield, Iowa |
E195901
|
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: Greenfield, Iowa | Statement: [Central Iowa, hasCity, Greenfield, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenfield, Iowa Context triple: [Central Iowa, hasCity, Greenfield, Iowa]
-
A.
Greenfield, Iowa
chosen
Greenfield, Iowa is a small city in southwestern Iowa known as the administrative and commercial hub of Adair County.
-
B.
Greeley, Iowa
Greeley, Iowa is a small rural town in Delaware County in northeastern Iowa.
-
C.
Grandview, Iowa
Grandview, Iowa is a small rural city in southeastern Iowa known for its close-knit community and agricultural surroundings.
-
D.
Wheatland, Iowa
Wheatland, Iowa is a small rural city in eastern Iowa known for its agricultural community and location within Clinton County.
-
E.
Riverside, Iowa
Riverside, Iowa is a small city best known as the self-proclaimed future birthplace of Star Trek’s Captain James T. Kirk.
- 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5da774f4819099e5bfd12973d946 |
completed | March 31, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf518d48b481909e2abf5d60bf7c78 |
completed | April 3, 2026, 5:35 a.m. |
Created at: March 30, 2026, 6:39 p.m.