Triple
T21505865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 29 in Iowa |
E530595
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Council Bluffs |
—
|
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: Council Bluffs | Statement: [Interstate 29 in Iowa, connects, Council Bluffs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Council Bluffs Context triple: [Interstate 29 in Iowa, connects, Council Bluffs]
-
A.
Council Bluffs
chosen
Council Bluffs is a city in western Iowa, located along the Missouri River across from Omaha, Nebraska, known historically as a key railroad hub and gateway to the American West.
-
B.
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.
-
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.
Les Moines
Les Moines is a symbolist poetry collection by Belgian writer Émile Verhaeren that explores monastic life, spirituality, and inner conflict.
-
E.
Marshalltown
Marshalltown is a city in central Iowa that serves as a regional hub for industry, commerce, and transportation.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea7cb5588190a4473bbfe3f49cbb |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:24 p.m.