Triple
T15080856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central News Agency |
E380137
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | CNA |
E1136431
|
NE FINISHED |
How this triple was built (2 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: [Central News Agency, shortName, CNA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CNA Context triple: [Central News Agency, shortName, CNA]
-
A.
CNA
CNA is an Italian employers' association representing small and medium-sized enterprises, artisans, and related businesses.
-
B.
CNA
CNA is a major South African media and retail company historically known for its nationwide chain of bookstores and newsstands.
-
C.
CNA
CNA is the London Stock Exchange ticker symbol under which the British energy company Centrica is publicly traded.
-
D.
CNA
chosen
CNA is a major news agency that provides national and international news coverage, often serving as a primary source for media outlets.
-
E.
CNA News
CNA News is a Taiwanese state-owned news agency that provides domestic and international news coverage across multiple media platforms.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff80008c88190840f94222f867478 |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7dfae748190a0d59df5cbd5787d |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:03 a.m.