Triple
T449389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macau |
E7092
|
entity |
| Predicate | internetTLD |
P248
|
FINISHED |
| Object |
.mo
.mo is the country code top-level domain (ccTLD) assigned to the Macao Special Administrative Region of China for use on the internet.
|
E56572
|
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: .mo | Statement: [Macau, internetTLD, .mo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: .mo Context triple: [Macau, internetTLD, .mo]
-
A.
OM
OM is the post-nominal abbreviation used by members of the Order of Merit, a prestigious British honor recognizing distinguished service in the armed forces, science, art, literature, or the promotion of culture.
-
B.
MAR
MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
-
C.
Ma
Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
-
D.
MOIA
MOIA is a mobility services company focused on ride-pooling and urban transportation solutions, operating as a subsidiary of the Volkswagen Group.
-
E.
MOE
MOE is the common abbreviation for Japan’s Ministry of Education, the government body responsible for national education policy and administration.
- 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: .mo Triple: [Macau, internetTLD, .mo]
Generated description
.mo is the country code top-level domain (ccTLD) assigned to the Macao Special Administrative Region of China for use on the internet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: .mo Target entity description: .mo is the country code top-level domain (ccTLD) assigned to the Macao Special Administrative Region of China for use on the internet.
-
A.
OM
OM is the post-nominal abbreviation used by members of the Order of Merit, a prestigious British honor recognizing distinguished service in the armed forces, science, art, literature, or the promotion of culture.
-
B.
MAR
MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
-
C.
Ma
Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
-
D.
MOIA
MOIA is a mobility services company focused on ride-pooling and urban transportation solutions, operating as a subsidiary of the Volkswagen Group.
-
E.
MOE
MOE is the common abbreviation for Japan’s Ministry of Education, the government body responsible for national education policy and administration.
- 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_69a2e7e4676c81909ea0dbdecac0687c |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef6755a08190a057e72279b70456 |
completed | Feb. 28, 2026, 1:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a447ff88c0819091062bfcdc09f7c1 |
completed | March 1, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69a448814bb48190821c12fad63cc904 |
completed | March 1, 2026, 2:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a448e45d248190a50fee4e2aefcaf5 |
completed | March 1, 2026, 2:10 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.