Triple
T9305093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Business Administration and Public Policy |
E223862
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object |
CBAPP
CBAPP is the College of Business Administration and Public Policy, an academic unit that offers business and public policy education and related degree programs.
|
E790381
|
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: CBAPP | Statement: [College of Business Administration and Public Policy, acronym, CBAPP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CBAPP Context triple: [College of Business Administration and Public Policy, acronym, CBAPP]
-
A.
CBb
CBb is the Dutch Trade and Industry Appeals Tribunal, a specialized administrative court in the Netherlands that handles disputes in economic and regulatory matters.
-
B.
CB
CB is the station code used to identify Coimbra-B railway station in Portugal’s rail network.
-
C.
CB
CB is the post-nominal abbreviation indicating appointment as a Companion of the Order of the Bath, a British order of chivalry.
-
D.
CB
CB is the vehicle registration code used for cars registered in the Czech city of České Budějovice.
-
E.
CB
CB is the vehicle registration code used on license plates for the German city of Cottbus.
- 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: CBAPP Triple: [College of Business Administration and Public Policy, acronym, CBAPP]
Generated description
CBAPP is the College of Business Administration and Public Policy, an academic unit that offers business and public policy education and related degree programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CBAPP Target entity description: CBAPP is the College of Business Administration and Public Policy, an academic unit that offers business and public policy education and related degree programs.
-
A.
CBb
CBb is the Dutch Trade and Industry Appeals Tribunal, a specialized administrative court in the Netherlands that handles disputes in economic and regulatory matters.
-
B.
CB
CB is the station code used to identify Coimbra-B railway station in Portugal’s rail network.
-
C.
CB
CB is the vehicle registration code used on license plates for the German city of Cottbus.
-
D.
CB
CB is the post-nominal abbreviation indicating appointment as a Companion of the Order of the Bath, a British order of chivalry.
-
E.
CB
CB is the vehicle registration code used for cars registered in the Czech city of České Budějovice.
- 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_69ca8424d0f08190831e2e93c6533aeb |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd1da623ac81908bab6dfb1bbce25d |
completed | April 1, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b2735d788190bd8f963562fb85a8 |
completed | April 4, 2026, 6:40 a.m. |
| NEDg | Description generation | batch_69d0b4231b708190b8a4a342bc63e84d |
completed | April 4, 2026, 6:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b4b8131c8190b2aa8be56925b7bc |
completed | April 4, 2026, 6:50 a.m. |
Created at: March 30, 2026, 7:36 p.m.