Triple
T2437370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cedar Falls Utilities |
E53191
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
CFU
CFU is a municipal utility provider serving the Cedar Falls, Iowa area with services such as electricity, water, natural gas, and communications.
|
E266029
|
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: CFU | Statement: [Cedar Falls Utilities, abbreviation, CFU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CFU Context triple: [Cedar Falls Utilities, abbreviation, CFU]
-
A.
CFU
CFU is the commonly used abbreviation for the Caribbean Football Union, the governing body for association football in the Caribbean region.
-
B.
CFC
CFC is the commonly used abbreviation for the United States Court of Federal Claims, a federal court that hears monetary claims against the U.S. government.
-
C.
CFC
CFC is the abbreviation commonly used for the Combined Forces Command, a joint military headquarters coordinating combined operations.
-
D.
CAF
CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
-
E.
CAF
CAF is an abbreviation that can refer to various organizations or groups, most notably the Cactus Air Force, a World War II Allied air unit based on Guadalcanal.
- 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: CFU Triple: [Cedar Falls Utilities, abbreviation, CFU]
Generated description
CFU is a municipal utility provider serving the Cedar Falls, Iowa area with services such as electricity, water, natural gas, and communications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CFU Target entity description: CFU is a municipal utility provider serving the Cedar Falls, Iowa area with services such as electricity, water, natural gas, and communications.
-
A.
CFU
CFU is the commonly used abbreviation for the Caribbean Football Union, the governing body for association football in the Caribbean region.
-
B.
CFC
CFC is the commonly used abbreviation for the United States Court of Federal Claims, a federal court that hears monetary claims against the U.S. government.
-
C.
CFC
CFC is the abbreviation commonly used for the Combined Forces Command, a joint military headquarters coordinating combined operations.
-
D.
CAF
CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
-
E.
CAF
CAF is the commonly used abbreviation for the Chief of Air Force, the professional head of an air force service.
- 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_69ab495b6dac8190ac82661aa1452222 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9f342e88190a430b02842ded418 |
completed | March 7, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf7085b88190938c4eefa4380970 |
completed | March 9, 2026, 12:39 p.m. |
| NEDg | Description generation | batch_69aec30189d081908bb6865937aff20d |
completed | March 9, 2026, 12:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aec39bb6a4819084652814e18f60d4 |
completed | March 9, 2026, 12:56 p.m. |
Created at: March 6, 2026, 9:43 p.m.