Triple
T22950867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ministerio de Defensa Nacional (Ecuador) |
E570009
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
MIDENA
MIDENA is the acronym for Ecuador’s Ministry of National Defense, the government body responsible for overseeing the country’s armed forces and national defense policy.
|
E1563474
|
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: MIDENA | Statement: [Ministerio de Defensa Nacional (Ecuador), hasAbbreviation, MIDENA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MIDENA Context triple: [Ministerio de Defensa Nacional (Ecuador), hasAbbreviation, MIDENA]
-
A.
Mêda
Mêda is a municipality in northeastern Portugal known for its rural landscapes, wine production, and proximity to the Douro wine region.
-
B.
Medon
Medon is a minor figure in Greek mythology known primarily as a son of Pylades.
-
C.
Mezdour
Mezdour is a town and commune located in Bouira Province in northern Algeria.
-
D.
Moneva
Moneva is a small municipality in the province of Zaragoza, Aragon, Spain, known for its rural character and location within the historic Campo de Belchite area.
-
E.
Medesano
Medesano is a municipality in the Province of Parma in Italy’s Emilia-Romagna region, known for its rural landscape and proximity to the Taro River.
- 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: MIDENA Triple: [Ministerio de Defensa Nacional (Ecuador), hasAbbreviation, MIDENA]
Generated description
MIDENA is the acronym for Ecuador’s Ministry of National Defense, the government body responsible for overseeing the country’s armed forces and national defense policy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MIDENA Target entity description: MIDENA is the acronym for Ecuador’s Ministry of National Defense, the government body responsible for overseeing the country’s armed forces and national defense policy.
-
A.
Mêda
Mêda is a municipality in northeastern Portugal known for its rural landscapes, wine production, and proximity to the Douro wine region.
-
B.
Medon
Medon is a minor figure in Greek mythology known primarily as a son of Pylades.
-
C.
Mezdour
Mezdour is a town and commune located in Bouira Province in northern Algeria.
-
D.
Moneva
Moneva is a small municipality in the province of Zaragoza, Aragon, Spain, known for its rural character and location within the historic Campo de Belchite area.
-
E.
Medesano
Medesano is a municipality in the Province of Parma in Italy’s Emilia-Romagna region, known for its rural landscape and proximity to the Taro River.
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181a1b334819097a4e9ea8a54209c |
completed | April 29, 2026, 3:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bca17e51881909f147ae8677e2a90 |
completed | May 19, 2026, 2:25 a.m. |
| NEDg | Description generation | batch_6a0bcaebed688190b2ea74c588922d98 |
completed | May 19, 2026, 2:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bcbec354081909dbeeb389e86d38c |
completed | May 19, 2026, 2:33 a.m. |
Created at: April 17, 2026, 3:46 p.m.