Triple
T22566039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Career Education Corporation |
E557952
|
entity |
| Predicate | listedAs |
P310
|
FINISHED |
| Object | CECO |
—
|
NE NERFINISHED |
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: CECO | Statement: [Career Education Corporation, listedAs, CECO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CECO Context triple: [Career Education Corporation, listedAs, CECO]
-
A.
CECO
chosen
CECO is the stock ticker symbol for Career Education Corporation, a U.S.-based provider of postsecondary education and career-focused training programs.
-
B.
COMCO
COMCO is the Swiss Competition Commission, the federal authority responsible for enforcing antitrust and competition law in Switzerland.
-
C.
CE&C
CE&C is the commonly used abbreviation for the Department of Chemical Engineering and Chemistry, an academic unit focused on education and research in chemical engineering and chemistry.
-
D.
JECO
JECO is a Japanese consortium that holds an ownership stake in Chile’s Escondida copper mine.
-
E.
SEMCO
SEMCO is the brand name used by Samsung Electro-Mechanics for its electronic components and related technologies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa9ebc8819098d74fb41e14bd7e |
completed | April 29, 2026, 1:32 a.m. |
Created at: April 16, 2026, 8:52 p.m.