Triple
T1174098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MOE |
E24976
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | MOE |
E24976
|
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, hasAbbreviation, MOE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MOE Context triple: [MOE, hasAbbreviation, MOE]
-
A.
MOE
chosen
MOE is the common abbreviation for Japan’s Ministry of Education, the government body responsible for national education policy and administration.
-
B.
MEEI
MEEI is a renowned specialty hospital in Boston focused on ophthalmology and otolaryngology, affiliated with Harvard Medical School.
-
C.
M.O.
M.O. is a studio album by American rapper Nelly that showcases his blend of hip hop and pop-rap with numerous guest collaborations.
-
D.
.mo
.mo is the country code top-level domain (ccTLD) assigned to the Macao Special Administrative Region of China for use on the internet.
-
E.
MOIA
MOIA is a mobility services company focused on ride-pooling and urban transportation solutions, operating as a subsidiary of the Volkswagen Group.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcee38c881909c2fc73ba35f7253 |
completed | March 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac668a135881909b885e2816ee8240 |
completed | March 7, 2026, 5:55 p.m. |
Created at: March 1, 2026, 7:45 p.m.