Triple
T12551197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CDE |
E300099
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | CDE |
unclear NED1
|
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: CDE | Statement: [CDE, abbreviation, CDE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CDE Context triple: [CDE, abbreviation, CDE]
-
A.
CDE
CDE is the standard abbreviation for a Community Development Entity, a specialized organization that channels investment into low-income or underserved communities.
-
B.
CDE
CDE is the California state agency responsible for overseeing public education, including K–12 schools and various educational programs.
-
C.
CDE
CDE is the abbreviated designation for the French Space Command, the military organization responsible for France’s space operations and defense in outer space.
-
D.
CDE
CDE (Common Desktop Environment) is a classic Unix desktop environment providing a graphical user interface with a consistent look and feel across multiple Unix systems.
-
E.
CdeO
CdeO is a shortened nickname for Cagayan de Oro, a major urban center and gateway city in Northern Mindanao, Philippines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95482c1348190b6f964decef5cc0a |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65eb538388190b9fb78306fbab2f3 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 8, 2026, 9:58 p.m.