Triple
T10853572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ministry of Tourism of Cuba |
E256211
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
MINTUR
MINTUR is the Cuban government ministry responsible for overseeing and developing the country’s tourism sector.
|
E889804
|
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: MINTUR | Statement: [Ministry of Tourism of Cuba, shortName, MINTUR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MINTUR Context triple: [Ministry of Tourism of Cuba, shortName, MINTUR]
-
A.
Minsait
Minsait is a digital transformation and information technology consulting company that operates as the specialized IT and consulting arm of Indra Sistemas.
-
B.
Mintil
Mintil is a lesser-known Aslian language spoken by an indigenous community in the Malay Peninsula.
-
C.
Sumintra
"Sumintra" is a popular chutney/soca song by Trinidadian artist Rikki Jai that helped establish his reputation in the Indo-Caribbean music scene.
-
D.
Sogecine
Sogecine is a Spanish film production company known for backing acclaimed auteur-driven cinema, including works by director Alejandro Amenábar.
-
E.
Montaza
Montaza is a coastal district and popular recreational area in Alexandria, Egypt, known for its historic royal palace, expansive gardens, and Mediterranean beaches.
- 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: MINTUR Triple: [Ministry of Tourism of Cuba, shortName, MINTUR]
Generated description
MINTUR is the Cuban government ministry responsible for overseeing and developing the country’s tourism sector.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MINTUR Target entity description: MINTUR is the Cuban government ministry responsible for overseeing and developing the country’s tourism sector.
-
A.
Minsait
Minsait is a digital transformation and information technology consulting company that operates as the specialized IT and consulting arm of Indra Sistemas.
-
B.
Mintil
Mintil is a lesser-known Aslian language spoken by an indigenous community in the Malay Peninsula.
-
C.
Sumintra
"Sumintra" is a popular chutney/soca song by Trinidadian artist Rikki Jai that helped establish his reputation in the Indo-Caribbean music scene.
-
D.
Sogecine
Sogecine is a Spanish film production company known for backing acclaimed auteur-driven cinema, including works by director Alejandro Amenábar.
-
E.
Montaza
Montaza is a coastal district and popular recreational area in Alexandria, Egypt, known for its historic royal palace, expansive gardens, and Mediterranean beaches.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75134299481909459fd87917261a7 |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb18a48248190999f95abc979fa74 |
completed | April 14, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69ded06ea3c08190a9a9fc5fde2fd62d |
completed | April 14, 2026, 11:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ded43b8ca48190b49f6edf2f46870f |
completed | April 14, 2026, 11:56 p.m. |
Created at: April 8, 2026, 9:20 p.m.