Triple
T22017362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iowa Highway 4 |
E543746
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Mallard
Mallard is a small rural city in Palo Alto County, Iowa, known for its agricultural surroundings and location in north-central Iowa.
|
E1514670
|
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: Mallard | Statement: [Iowa Highway 4, passesThrough, Mallard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mallard Context triple: [Iowa Highway 4, passesThrough, Mallard]
-
A.
Mallard
Mallard is a famous British LNER Class A4 steam locomotive that holds the world speed record for steam traction, preserved today as a historic exhibit.
-
B.
Mallard
Mallard is a common English surname most famously associated with Brently Mallard, a character in Kate Chopin’s short story “The Story of an Hour.”
-
C.
Mallard
Mallard is the codename for Operation Mallard, a World War II Allied airborne operation conducted during the Normandy landings in June 1944.
-
D.
Mallards
Mallards is the short name for the Madison Mallards, a collegiate summer baseball team based in Madison, Wisconsin.
-
E.
The Shoveler
The Shoveler is a blue-collar superhero parody from the film "Mystery Men," known for fighting crime with a shovel and an earnest, everyman attitude.
- 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: Mallard Triple: [Iowa Highway 4, passesThrough, Mallard]
Generated description
Mallard is a small rural city in Palo Alto County, Iowa, known for its agricultural surroundings and location in north-central Iowa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mallard Target entity description: Mallard is a small rural city in Palo Alto County, Iowa, known for its agricultural surroundings and location in north-central Iowa.
-
A.
Mallard
Mallard is a famous British LNER Class A4 steam locomotive that holds the world speed record for steam traction, preserved today as a historic exhibit.
-
B.
Mallard
Mallard is a common English surname most famously associated with Brently Mallard, a character in Kate Chopin’s short story “The Story of an Hour.”
-
C.
Mallard
Mallard is the codename for Operation Mallard, a World War II Allied airborne operation conducted during the Normandy landings in June 1944.
-
D.
Mallards
Mallards is the short name for the Madison Mallards, a collegiate summer baseball team based in Madison, Wisconsin.
-
E.
The Shoveler
The Shoveler is a blue-collar superhero parody from the film "Mystery Men," known for fighting crime with a shovel and an earnest, everyman attitude.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c4e0088190a5241d1b87d746da |
completed | April 28, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7381c4b8819086514b9422cd6a0c |
completed | May 18, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_6a0a74e81da881908c73d864258dcdd5 |
completed | May 18, 2026, 2:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a75cbb2408190b058713432b048a2 |
completed | May 18, 2026, 2:13 a.m. |
Created at: April 16, 2026, 8:23 p.m.