Triple
T13822231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian employers' confederation system |
E332164
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
CNA
CNA is an Italian employers' association representing small and medium-sized enterprises, artisans, and related businesses.
|
E1063279
|
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: CNA | Statement: [Italian employers' confederation system, hasComponent, CNA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CNA Context triple: [Italian employers' confederation system, hasComponent, CNA]
-
A.
CNA
CNA is a major South African media and retail company historically known for its nationwide chain of bookstores and newsstands.
-
B.
CNA
CNA is the London Stock Exchange ticker symbol under which the British energy company Centrica is publicly traded.
-
C.
CNAH
CNAH is the acronym for China National Aviation Holding, a major Chinese state-owned aviation conglomerate that oversees several key airlines and aviation-related businesses.
-
D.
CNAF
CNAF is a major computing and data center of the Italian National Institute for Nuclear Physics, dedicated to supporting large-scale experiments in particle and nuclear physics.
-
E.
CNAP
CNAP is the commonly used acronym for Commander, Naval Air Forces, Pacific, the U.S. Navy command responsible for overseeing Pacific Fleet naval aviation.
- 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: CNA Triple: [Italian employers' confederation system, hasComponent, CNA]
Generated description
CNA is an Italian employers' association representing small and medium-sized enterprises, artisans, and related businesses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CNA Target entity description: CNA is an Italian employers' association representing small and medium-sized enterprises, artisans, and related businesses.
-
A.
CNA
CNA is a major South African media and retail company historically known for its nationwide chain of bookstores and newsstands.
-
B.
CNA
CNA is the London Stock Exchange ticker symbol under which the British energy company Centrica is publicly traded.
-
C.
CNAH
CNAH is the acronym for China National Aviation Holding, a major Chinese state-owned aviation conglomerate that oversees several key airlines and aviation-related businesses.
-
D.
CNAF
CNAF is a major computing and data center of the Italian National Institute for Nuclear Physics, dedicated to supporting large-scale experiments in particle and nuclear physics.
-
E.
CNAP
CNAP is the commonly used acronym for Commander, Naval Air Forces, Pacific, the U.S. Navy command responsible for overseeing Pacific Fleet naval aviation.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0284428081908043c55caeefb833 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8e60e1c81908d51d723e85e0541 |
completed | May 3, 2026, 9:06 p.m. |
| NEDg | Description generation | batch_69f7b9d81f488190875e9b3f885556ab |
completed | May 3, 2026, 9:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ba936c4481908757699ff22d3904 |
completed | May 3, 2026, 9:13 p.m. |
Created at: April 9, 2026, 10:13 p.m.