Triple
T9526774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CCEO |
E229777
|
entity |
| Predicate | hasCanonicalAbbreviation |
P8075
|
FINISHED |
| Object | CCEO |
E229777
|
NE FINISHED |
How this triple was built (2 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: CCEO | Statement: [CCEO, hasCanonicalAbbreviation, CCEO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CCEO Context triple: [CCEO, hasCanonicalAbbreviation, CCEO]
-
A.
CCEO
chosen
CCEO is the commonly used abbreviation for the Code of Canons of the Eastern Churches, the body of canon law governing the Eastern Catholic Churches.
-
B.
CCE
CCE is a division at the California Institute of Technology focused on research and education in chemistry and chemical engineering.
-
C.
CCE
CCE is an abbreviation commonly used for the Center for Civic Engagement, an organization that promotes community involvement, public service, and civic responsibility.
-
D.
CCO
CCO is the FAA location identifier for Newnan–Coweta County Airport in Georgia, United States.
-
E.
CECO
CECO is the stock ticker symbol for Career Education Corporation, a U.S.-based provider of postsecondary education and career-focused training programs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd989c831081908877e42f7ead84ba |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c2710b481909a13d946f6dd5b2d |
completed | April 4, 2026, 5:36 p.m. |
Created at: March 30, 2026, 8 p.m.