Triple
T11751879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MOE |
E279426
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | MOE |
unclear NED1
|
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: MOE | Statement: [MOE, shortName, MOE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MOE Context triple: [MOE, shortName, MOE]
-
A.
MOE
MOE is the common abbreviation for Japan’s Ministry of Education, the government body responsible for national education policy and administration.
-
B.
MOE
MOE is the Ministry of Education of the Republic of China (Taiwan), the government agency responsible for national education policy and administration.
-
C.
MOE
MOE is the government ministry responsible for overseeing and administering the national education system in South Korea.
-
D.
MOE
MOE is the elite special operations command of the Spanish Army, responsible for high-risk missions such as counterterrorism, reconnaissance, and unconventional warfare.
-
E.
MoESD
MoESD is the abbreviated name of Georgia’s Ministry of Economy and Sustainable Development, the government body responsible for economic policy, trade, and sustainable growth.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a509c2448190b0deb7ed29c3a73f |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a13550081909a26f57b30d68e03 |
completed | April 28, 2026, 2:23 a.m. |
Created at: April 8, 2026, 9:41 p.m.