Triple
T56653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cresco, Iowa |
E1120
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
Cresco
Cresco is a small city in northeastern Iowa known for its agricultural community and historic architecture.
|
E12323
|
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: Cresco | Statement: [Cresco, Iowa, hasName, Cresco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cresco Context triple: [Cresco, Iowa, hasName, Cresco]
-
A.
Colwell
Colwell is a surname most notably associated with Rita R. Colwell, an influential American microbiologist and former director of the U.S. National Science Foundation.
-
B.
Loomis
Loomis is a surname of English origin borne by various notable individuals across fields such as science, law, and the arts.
-
C.
Goodhue
Goodhue is a surname most notably associated with Bertram Grosvenor Goodhue, an influential American architect known for his Gothic Revival and early modernist designs.
-
D.
Springwood
Springwood is the historic Hudson River estate in Hyde Park, New York, best known as the lifelong home and presidential library site of Franklin D. Roosevelt.
-
E.
Silver Hill
Silver Hill is a small commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
- 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: Cresco Triple: [Cresco, Iowa, hasName, Cresco]
Generated description
Cresco is a small city in northeastern Iowa known for its agricultural community and historic architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cresco Target entity description: Cresco is a small city in northeastern Iowa known for its agricultural community and historic architecture.
-
A.
Colwell
Colwell is a surname most notably associated with Rita R. Colwell, an influential American microbiologist and former director of the U.S. National Science Foundation.
-
B.
Loomis
Loomis is a surname of English origin borne by various notable individuals across fields such as science, law, and the arts.
-
C.
Goodhue
Goodhue is a surname most notably associated with Bertram Grosvenor Goodhue, an influential American architect known for his Gothic Revival and early modernist designs.
-
D.
Springwood
Springwood is the historic Hudson River estate in Hyde Park, New York, best known as the lifelong home and presidential library site of Franklin D. Roosevelt.
-
E.
Silver Hill
Silver Hill is a small commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
- 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24ec4d84c81908d85a1e941dbcd19 |
completed | Feb. 28, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a284f9fcd48190a3331f06d5dc00e8 |
completed | Feb. 28, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_69a28652e5b081908010cf3910cea87f |
completed | Feb. 28, 2026, 6:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a286f855608190b876a71dc26e0624 |
completed | Feb. 28, 2026, 6:11 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.