Triple
T15771251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cameco Corporation |
E382365
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
CCO
CCO is the stock ticker symbol for Cameco Corporation, a major Canadian uranium mining and nuclear fuel company.
|
E1175294
|
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: CCO | Statement: [Cameco Corporation, tickerSymbol, CCO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CCO Context triple: [Cameco Corporation, tickerSymbol, CCO]
-
A.
CCO
CCO is the FAA location identifier for Newnan–Coweta County Airport in Georgia, United States.
-
B.
CCCF
CCCF was a former regional football confederation in Central America and the Caribbean that governed the sport before being merged into CONCACAF.
-
C.
CCE
CCE is a division at the California Institute of Technology focused on research and education in chemistry and chemical engineering.
-
D.
CCE
CCE is an abbreviation commonly used for the Center for Civic Engagement, an organization that promotes community involvement, public service, and civic responsibility.
-
E.
CSCC
CSCC is a public community college in Cleveland, Tennessee, offering two-year degree and certificate programs for local and regional students.
- 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: CCO Triple: [Cameco Corporation, tickerSymbol, CCO]
Generated description
CCO is the stock ticker symbol for Cameco Corporation, a major Canadian uranium mining and nuclear fuel company.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CCO Target entity description: CCO is the stock ticker symbol for Cameco Corporation, a major Canadian uranium mining and nuclear fuel company.
-
A.
CCO
CCO is the FAA location identifier for Newnan–Coweta County Airport in Georgia, United States.
-
B.
CCCF
CCCF was a former regional football confederation in Central America and the Caribbean that governed the sport before being merged into CONCACAF.
-
C.
CCE
CCE is a division at the California Institute of Technology focused on research and education in chemistry and chemical engineering.
-
D.
CCE
CCE is an abbreviation commonly used for the Center for Civic Engagement, an organization that promotes community involvement, public service, and civic responsibility.
-
E.
CSCC
CSCC is a public community college in Cleveland, Tennessee, offering two-year degree and certificate programs for local and regional students.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e051962fe08190a6201dd48196a9ee |
completed | April 16, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff877c5ae88190aeb500bb5f0d73f7 |
completed | May 9, 2026, 7:14 p.m. |
| NEDg | Description generation | batch_69ff885d33708190adb157afa7dc2e07 |
completed | May 9, 2026, 7:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff8948cc68819085c3953226236394 |
completed | May 9, 2026, 7:21 p.m. |
Created at: April 10, 2026, 4:47 a.m.