Triple
T9198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Council Bluffs, Iowa |
E184
|
entity |
| Predicate | foundedAs |
P364
|
FINISHED |
| Object |
Kanesville
Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
|
E3838
|
NE FINISHED |
How this triple was built (4 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: Kanesville | Statement: [Council Bluffs, Iowa, foundedAs, Kanesville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanesville Context triple: [Council Bluffs, Iowa, foundedAs, Kanesville]
-
A.
Lexington
Lexington is a historic suburban town in Massachusetts, United States, best known as the site where the first shots of the American Revolutionary War were fired at the Battle of Lexington in 1775.
-
B.
Delano
Delano is the middle name of Franklin D. Roosevelt, the 32nd president of the United States.
-
C.
Pella, Iowa
Pella, Iowa is a small Midwestern city renowned for its strong Dutch heritage, traditional architecture, and annual tulip festival.
-
D.
Hodgenville, Kentucky
Hodgenville, Kentucky is a small city in central Kentucky best known as the birthplace of U.S. President Abraham Lincoln.
-
E.
Lawrence
Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kanesville Triple: [Council Bluffs, Iowa, foundedAs, Kanesville]
Generated description
Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kanesville Target entity description: Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
-
A.
Lexington
Lexington is a historic suburban town in Massachusetts, United States, best known as the site where the first shots of the American Revolutionary War were fired at the Battle of Lexington in 1775.
-
B.
Delano
Delano is the middle name of Franklin D. Roosevelt, the 32nd president of the United States.
-
C.
Pella, Iowa
Pella, Iowa is a small Midwestern city renowned for its strong Dutch heritage, traditional architecture, and annual tulip festival.
-
D.
Hodgenville, Kentucky
Hodgenville, Kentucky is a small city in central Kentucky best known as the birthplace of U.S. President Abraham Lincoln.
-
E.
Lawrence
Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
- F. None of above. chosen
Provenance (5 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_69a23bb612708190b09f25385e4b63d1 |
completed | Feb. 28, 2026, 12:49 a.m. |
| NER | Named-entity recognition | batch_69a23ff2f0508190806663ab2463cd41 |
completed | Feb. 28, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a24e52b304819094ffde051ec9bde3 |
completed | Feb. 28, 2026, 2:09 a.m. |
| NEDg | Description generation | batch_69a24ede3374819089e7fae28c6c9d63 |
completed | Feb. 28, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a24fc8a2a881909e5ae2e03757fbec |
completed | Feb. 28, 2026, 2:15 a.m. |
Created at: Feb. 28, 2026, 12:54 a.m.