Triple
T15980007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian Conference of Catholic Bishops |
E387547
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
CECC
CECC is the French acronym for the Canadian Conference of Catholic Bishops, the national assembly of Catholic bishops in Canada.
|
E1188766
|
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: CECC | Statement: [Canadian Conference of Catholic Bishops, shortName, CECC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CECC Context triple: [Canadian Conference of Catholic Bishops, shortName, CECC]
-
A.
CEEAC
CEEAC is a regional economic community in Central Africa that promotes economic integration, peace, and development among its member states.
-
B.
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.
-
C.
CEC
CEC is the three-letter IATA airport code for Del Norte County Regional Airport in Crescent City, California.
-
D.
CEC
CEC is the primary state agency responsible for energy policy, planning, and regulation in California.
-
E.
CEC
CEC is the commonly used abbreviation for the College of Engineering and Computing, an academic division focused on engineering and computing disciplines.
- 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: CECC Triple: [Canadian Conference of Catholic Bishops, shortName, CECC]
Generated description
CECC is the French acronym for the Canadian Conference of Catholic Bishops, the national assembly of Catholic bishops in Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CECC Target entity description: CECC is the French acronym for the Canadian Conference of Catholic Bishops, the national assembly of Catholic bishops in Canada.
-
A.
CEEAC
CEEAC is a regional economic community in Central Africa that promotes economic integration, peace, and development among its member states.
-
B.
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.
-
C.
CEC
CEC is the three-letter IATA airport code for Del Norte County Regional Airport in Crescent City, California.
-
D.
CEC
CEC is the primary state agency responsible for energy policy, planning, and regulation in California.
-
E.
CEC
CEC is the commonly used abbreviation for the College of Engineering and Computing, an academic division focused on engineering and computing disciplines.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157542cd88190832e7ae79bd38ffc |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3c9567c8190af87c3fcf8a4af15 |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc7fb8f308190b649a64c344884b0 |
completed | May 9, 2026, 11:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc83b4c648190bce41afbd6547fc1 |
completed | May 9, 2026, 11:50 p.m. |
Created at: April 10, 2026, 4:54 a.m.