Triple
T7019160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China Eastern Airlines |
E162774
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | CEA |
E162774
|
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: CEA | Statement: [China Eastern Airlines, abbreviation, CEA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CEA Context triple: [China Eastern Airlines, abbreviation, CEA]
-
A.
CEA
CEA is the commonly used abbreviation for the U.S. Commodity Exchange Act, the federal law regulating commodity futures and derivatives markets.
-
B.
CEA
chosen
CEA is the abbreviation for China Eastern Airlines, one of China's major state-owned carriers operating extensive domestic and international flight networks.
-
C.
CEA
CEA (Commissariat à l'énergie atomique et aux énergies alternatives) is a major French public research organization specializing in nuclear and alternative energy, defense, information technologies, and health technologies.
-
D.
CESAER
CESAER is a European association of leading universities of science and technology that collaborates to advance engineering education, research, and innovation.
-
E.
CEP
CEP is the commonly used abbreviation for Certificates of Suitability, which attest that a pharmaceutical substance complies with European Pharmacopoeia standards.
- 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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1e8e36c81908c95a8181781cda4 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7756a50608190b548ce4aeaaf9f9d |
completed | March 28, 2026, 6:30 a.m. |
Created at: March 27, 2026, 2:34 p.m.