Triple
T4132412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casablanca Stock Exchange |
E85070
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
CSE
CSE is the commonly used acronym for the Casablanca Stock Exchange, the principal securities market in Morocco.
|
E414792
|
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: CSE | Statement: [Casablanca Stock Exchange, abbreviation, CSE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CSE Context triple: [Casablanca Stock Exchange, abbreviation, CSE]
-
A.
CSE
CSE is Canada’s national cryptologic agency responsible for foreign signals intelligence, cybersecurity, and protecting government communications and information systems.
-
B.
CSE
CSE is the College of Science and Engineering at the University of Minnesota, a major academic unit focused on engineering, physical sciences, and related disciplines.
-
C.
CS
CS is the common abbreviation for the Church of Christ, Scientist, a Christian denomination founded by Mary Baker Eddy that emphasizes spiritual healing and the study of Christian Science.
-
D.
CS
CS is a common abbreviation used to refer to the city of College Station, Texas.
-
E.
COMP
COMP is a scientific committee within the European Medicines Agency responsible for evaluating and advising on orphan medicinal products for rare diseases in the European Union.
- 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: CSE Triple: [Casablanca Stock Exchange, abbreviation, CSE]
Generated description
CSE is the commonly used acronym for the Casablanca Stock Exchange, the principal securities market in Morocco.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CSE Target entity description: CSE is the commonly used acronym for the Casablanca Stock Exchange, the principal securities market in Morocco.
-
A.
CSE
CSE is Canada’s national cryptologic agency responsible for foreign signals intelligence, cybersecurity, and protecting government communications and information systems.
-
B.
CSE
CSE is the College of Science and Engineering at the University of Minnesota, a major academic unit focused on engineering, physical sciences, and related disciplines.
-
C.
CS
CS is the common abbreviation for the Church of Christ, Scientist, a Christian denomination founded by Mary Baker Eddy that emphasizes spiritual healing and the study of Christian Science.
-
D.
CS
CS is a common abbreviation used to refer to the city of College Station, Texas.
-
E.
COMP
COMP is a scientific committee within the European Medicines Agency responsible for evaluating and advising on orphan medicinal products for rare diseases in the European Union.
- 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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af022f55fc81909f2a1a04d0ea59e6 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576c26d4c81909b8be74855cbd03f |
completed | March 14, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69b577c2b784819096d8218dd1c1478d |
completed | March 14, 2026, 2:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5782cc448819080e306952da24ac0 |
completed | March 14, 2026, 3:01 p.m. |
Created at: March 9, 2026, 3:42 p.m.