Triple
T12867481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ministry of Defence of Croatia |
E307759
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
MORH
MORH is the Croatian Ministry of Defence, the government body responsible for managing and overseeing the country's armed forces and defense policy.
|
E1007671
|
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: MORH | Statement: [Ministry of Defence of Croatia, shortName, MORH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MORH Context triple: [Ministry of Defence of Croatia, shortName, MORH]
-
A.
MOR
MOR is the station code for Morges railway station, a key rail stop in the town of Morges in the canton of Vaud, Switzerland.
-
B.
MOR
MOR is the ICAO airline designator assigned to the former U.S. low-fare carrier Morris Air.
-
C.
MOR
MOR is the IATA airport code for Morristown Regional Airport in Tennessee, United States.
-
D.
MOR
MOR is the former Ministry of Railways of the People’s Republic of China, the government body that once oversaw the country’s railway planning, construction, and operations.
-
E.
MRH
MRH is the IATA airport code for Michael J. Smith Field, a public airport serving Beaufort, North Carolina, in the United States.
- 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: MORH Triple: [Ministry of Defence of Croatia, shortName, MORH]
Generated description
MORH is the Croatian Ministry of Defence, the government body responsible for managing and overseeing the country's armed forces and defense policy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MORH Target entity description: MORH is the Croatian Ministry of Defence, the government body responsible for managing and overseeing the country's armed forces and defense policy.
-
A.
MOR
MOR is the station code for Morges railway station, a key rail stop in the town of Morges in the canton of Vaud, Switzerland.
-
B.
MOR
MOR is the IATA airport code for Morristown Regional Airport in Tennessee, United States.
-
C.
MOR
MOR is the former Ministry of Railways of the People’s Republic of China, the government body that once oversaw the country’s railway planning, construction, and operations.
-
D.
MOR
MOR is the ICAO airline designator assigned to the former U.S. low-fare carrier Morris Air.
-
E.
MRH
MRH is the IATA airport code for Michael J. Smith Field, a public airport serving Beaufort, North Carolina, in the United States.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708f510c8190b4c64dc340420e85 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb26eb08190912d0b44c345bf41 |
completed | May 3, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69f69df1032881909255e506ddfd9c9f |
completed | May 3, 2026, 12:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69ea645a0819095edc112b9ed9bff |
completed | May 3, 2026, 1:02 a.m. |
Created at: April 9, 2026, 5:38 p.m.