Triple
T15853022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IDEM |
E384386
|
entity |
| Predicate | clearingHouse |
P5407
|
FINISHED |
| Object |
CC&G
CC&G (Cassa di Compensazione e Garanzia) is the Italian central counterparty clearing house that manages the clearing and settlement of trades on markets operated by Borsa Italiana and related platforms.
|
E1179409
|
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: CC&G | Statement: [IDEM, clearingHouse, CC&G]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CC&G Context triple: [IDEM, clearingHouse, CC&G]
-
A.
CCG
CCG is the railway station code for Churchgate, a major terminus on Mumbai’s suburban Western line.
-
B.
GGC
GGC is the abbreviation for the Gulf of Guinea Commission, a regional organization that promotes cooperation and security among states bordering the Gulf of Guinea in West and Central Africa.
-
C.
GGC
GGC is a public four-year college in Lawrenceville, Georgia, known for its open-access mission and rapidly growing, diverse student body.
-
D.
CCH
CCH is a leading provider of tax, accounting, and legal information, software, and services, operating as a major business unit of Wolters Kluwer.
-
E.
CJ Group
CJ Group is a major South Korean conglomerate with diversified businesses spanning entertainment, media, food, biotechnology, and retail.
- 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: CC&G Triple: [IDEM, clearingHouse, CC&G]
Generated description
CC&G (Cassa di Compensazione e Garanzia) is the Italian central counterparty clearing house that manages the clearing and settlement of trades on markets operated by Borsa Italiana and related platforms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CC&G Target entity description: CC&G (Cassa di Compensazione e Garanzia) is the Italian central counterparty clearing house that manages the clearing and settlement of trades on markets operated by Borsa Italiana and related platforms.
-
A.
CCG
CCG is the railway station code for Churchgate, a major terminus on Mumbai’s suburban Western line.
-
B.
GGC
GGC is the abbreviation for the Gulf of Guinea Commission, a regional organization that promotes cooperation and security among states bordering the Gulf of Guinea in West and Central Africa.
-
C.
GGC
GGC is a public four-year college in Lawrenceville, Georgia, known for its open-access mission and rapidly growing, diverse student body.
-
D.
CCH
CCH is a leading provider of tax, accounting, and legal information, software, and services, operating as a major business unit of Wolters Kluwer.
-
E.
CJ Group
CJ Group is a major South Korean conglomerate with diversified businesses spanning entertainment, media, food, biotechnology, and retail.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e14caddd2c8190859b2926b0e1ad35 |
completed | April 16, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa147bce481909fb6f6ef2793a5a8 |
completed | May 9, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_69ffa41a86ec8190b46d541965ecf26e |
completed | May 9, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa496f3e48190b8dc82bece548aec |
completed | May 9, 2026, 9:18 p.m. |
Created at: April 10, 2026, 4:50 a.m.