Triple
T8386810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuban Air Force |
E197836
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
DAAFAR
DAAFAR is the acronym for the Cuban Revolutionary Air and Air Defense Force, the aerial warfare and air defense branch of Cuba’s armed forces.
|
E730061
|
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: DAAFAR | Statement: [Cuban Air Force, abbreviation, DAAFAR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DAAFAR Context triple: [Cuban Air Force, abbreviation, DAAFAR]
-
A.
Daf
Daf is a short given name, typically used as a diminutive of the Welsh name Dafydd.
-
B.
Al Jaddaf
Al Jaddaf is a district in Dubai known for its waterfront location along Dubai Creek, cultural and residential developments, and connectivity via the Dubai Metro.
-
C.
Difaqane
Difaqane is a period of widespread warfare, migration, and social upheaval in early 19th-century southern Africa that reshaped the region’s political and demographic landscape.
-
D.
Dawadmi
Dawadmi is a town in central Saudi Arabia known as an important administrative and commercial center within Riyadh Province.
-
E.
Mafdal
Mafdal, also known as the National Religious Party, was a prominent Israeli political party that represented the religious Zionist community and often played a key role in coalition governments.
- 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: DAAFAR Triple: [Cuban Air Force, abbreviation, DAAFAR]
Generated description
DAAFAR is the acronym for the Cuban Revolutionary Air and Air Defense Force, the aerial warfare and air defense branch of Cuba’s armed forces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DAAFAR Target entity description: DAAFAR is the acronym for the Cuban Revolutionary Air and Air Defense Force, the aerial warfare and air defense branch of Cuba’s armed forces.
-
A.
Daf
Daf is a short given name, typically used as a diminutive of the Welsh name Dafydd.
-
B.
Al Jaddaf
Al Jaddaf is a district in Dubai known for its waterfront location along Dubai Creek, cultural and residential developments, and connectivity via the Dubai Metro.
-
C.
Difaqane
Difaqane is a period of widespread warfare, migration, and social upheaval in early 19th-century southern Africa that reshaped the region’s political and demographic landscape.
-
D.
Dawadmi
Dawadmi is a town in central Saudi Arabia known as an important administrative and commercial center within Riyadh Province.
-
E.
Mafdal
Mafdal, also known as the National Religious Party, was a prominent Israeli political party that represented the religious Zionist community and often played a key role in coalition governments.
- 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb81076eac8190893813628cacc1aa |
completed | March 31, 2026, 8:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde83aac448190b74f65507170a8f7 |
completed | April 2, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_69cdebfafe84819097f387318897dae1 |
completed | April 2, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cded2a9c2c8190bdbeddad562ef9e8 |
completed | April 2, 2026, 4:14 a.m. |
Created at: March 30, 2026, 6:03 p.m.