Triple
T12575128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ministry of Interior of Thailand |
E300186
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
MOI
MOI is the Ministry of Interior of Thailand, a key government body responsible for internal administration, local governance, and domestic security.
|
E990539
|
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: MOI | Statement: [Ministry of Interior of Thailand, shortName, MOI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MOI Context triple: [Ministry of Interior of Thailand, shortName, MOI]
-
A.
MOIS
MOIS is the acronym for Iran’s Ministry of Intelligence, the country’s primary intelligence and security agency responsible for domestic and foreign intelligence operations.
-
B.
MoMI
MoMI is a New York City museum dedicated to the art, history, and technology of film, television, and digital media.
-
C.
MOJ
MOJ is the abbreviated name for Japan’s Ministry of Justice, the government body responsible for legal affairs, the judiciary system, public prosecution, and immigration control.
-
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.
Moji
Moji was a former city in Fukuoka Prefecture, Japan, that later became a ward of Kitakyushu and is known for its historic port and preserved retro district.
- 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: MOI Triple: [Ministry of Interior of Thailand, shortName, MOI]
Generated description
MOI is the Ministry of Interior of Thailand, a key government body responsible for internal administration, local governance, and domestic security.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MOI Target entity description: MOI is the Ministry of Interior of Thailand, a key government body responsible for internal administration, local governance, and domestic security.
-
A.
MOIS
MOIS is the acronym for Iran’s Ministry of Intelligence, the country’s primary intelligence and security agency responsible for domestic and foreign intelligence operations.
-
B.
MoMI
MoMI is a New York City museum dedicated to the art, history, and technology of film, television, and digital media.
-
C.
MOJ
MOJ is the abbreviated name for Japan’s Ministry of Justice, the government body responsible for legal affairs, the judiciary system, public prosecution, and immigration control.
-
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.
Moji
Moji was a former city in Fukuoka Prefecture, Japan, that later became a ward of Kitakyushu and is known for its historic port and preserved retro district.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954a629fc8190a1c3b6777aad4527 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65597dc70819089ddc1794e9bd1b7 |
completed | May 2, 2026, 7:50 p.m. |
| NEDg | Description generation | batch_69f656f812bc8190a2a691285fc30e03 |
completed | May 2, 2026, 7:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f657ea0c6c8190992a0101904e92f2 |
completed | May 2, 2026, 8 p.m. |
Created at: April 9, 2026, 4:46 p.m.