Triple
T7251783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marne, Iowa |
E157617
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | Marne, Iowa |
E155813
|
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: Marne, Iowa | Statement: [Marne, Iowa, hasOfficialName, Marne, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marne, Iowa Context triple: [Marne, Iowa, hasOfficialName, Marne, Iowa]
-
A.
Marne, Iowa
chosen
Marne, Iowa is a small rural city located in Cass County in southwestern Iowa, known for its agricultural surroundings and tight-knit community.
-
B.
Marne, Iowa
Marne, Iowa is a small rural city located in western Iowa within Shelby County.
-
C.
Le Mars, Iowa
Le Mars, Iowa is a small northwestern Iowa city best known as the "Ice Cream Capital of the World" and home to the Blue Bunny ice cream brand.
-
D.
Marion, Iowa
Marion, Iowa is a suburban city in eastern Iowa known for its historic uptown district, family-friendly neighborhoods, and proximity to Cedar Rapids.
-
E.
Marengo, Iowa
Marengo, Iowa is a small city in eastern Iowa that serves as an administrative and commercial hub for the surrounding rural area.
- 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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea7ae0e48190bd80c91bad1976c6 |
completed | March 27, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3a7502081909d2a97a60cc445ae |
completed | March 28, 2026, 1:12 p.m. |
Created at: March 27, 2026, 2:56 p.m.