Triple
T22985917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I. M. Pei wing |
E571606
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Des Moines |
—
|
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: Des Moines | Statement: [I. M. Pei wing, locatedIn, Des Moines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Des Moines Context triple: [I. M. Pei wing, locatedIn, Des Moines]
-
A.
Des Moines, Iowa
chosen
Des Moines, Iowa is the capital and most populous city of Iowa, known as a major center for the U.S. insurance industry and regional finance.
-
B.
Les Moines
Les Moines is a symbolist poetry collection by Belgian writer Émile Verhaeren that explores monastic life, spirituality, and inner conflict.
-
C.
Cedar Rapids
Cedar Rapids is a 2011 American comedy film starring Ed Helms as a naive insurance agent navigating unexpected misadventures at a regional conference in Iowa.
-
D.
Dubuque
Dubuque is a historic river city in northeastern Iowa known for its role as a regional economic and cultural hub along the Mississippi River.
-
E.
Davenport, Iowa
Davenport, Iowa is a major city along the Mississippi River in eastern Iowa, known as part of the Quad Cities metropolitan area and a regional hub for commerce and culture.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182996ee08190ab74014ee7ecac2b |
completed | April 29, 2026, 4:01 a.m. |
Created at: April 17, 2026, 3:49 p.m.