Triple
T21903795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CDM |
E540877
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | CDM |
—
|
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: CDM | Statement: [CDM, acronym, CDM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CDM Context triple: [CDM, acronym, CDM]
-
A.
CDM
CDM is a hands-on children’s museum in San Jose, California, known for interactive exhibits that promote learning through play and exploration.
-
B.
CDM
CDM is the College of Management of Technology, an academic unit focused on integrating management, economics, and technology within a university setting.
-
C.
CDM
CDM is the acronym commonly used for DePaul University's College of Computing and Digital Media, which offers programs in technology, design, and media arts.
-
D.
CDM
CDM is a United Nations climate policy mechanism under the Kyoto Protocol that allows emission-reduction projects in developing countries to earn tradable carbon credits.
-
E.
CDP
CDP is a film and television production company known for producing works such as the movie "Goltzius and the Pelican Company."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d3c23081908c30c3a617002389 |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 16, 2026, 7:26 p.m.