Triple
T4228728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central American University (UCA) |
E94524
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
UCA
UCA is a Jesuit-run Central American University in Managua, Nicaragua, known for its strong emphasis on social justice, human rights, and critical scholarship.
|
E422347
|
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: UCA | Statement: [Central American University (UCA), abbreviation, UCA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UCA Context triple: [Central American University (UCA), abbreviation, UCA]
-
A.
UCA
UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
-
B.
UAK
UAK was the temporary currency code used for the Ukrainian karbovanets, a transitional currency of Ukraine in the early 1990s before the introduction of the hryvnia.
-
C.
UNA
UNA is the stock ticker symbol for Unilever, a major multinational consumer goods company known for its wide range of food, personal care, and household products.
-
D.
CUA
CUA is the ICAO airline designator for China United Airlines, a Chinese domestic carrier based in Beijing.
-
E.
UWA
UWA is a leading Australian public research university based in Perth, known for its strong academic programs and sandstone campus.
- 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: UCA Triple: [Central American University (UCA), abbreviation, UCA]
Generated description
UCA is a Jesuit-run Central American University in Managua, Nicaragua, known for its strong emphasis on social justice, human rights, and critical scholarship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UCA Target entity description: UCA is a Jesuit-run Central American University in Managua, Nicaragua, known for its strong emphasis on social justice, human rights, and critical scholarship.
-
A.
UCA
UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
-
B.
UAK
UAK was the temporary currency code used for the Ukrainian karbovanets, a transitional currency of Ukraine in the early 1990s before the introduction of the hryvnia.
-
C.
UNA
UNA is the stock ticker symbol for Unilever, a major multinational consumer goods company known for its wide range of food, personal care, and household products.
-
D.
CUA
CUA is the ICAO airline designator for China United Airlines, a Chinese domestic carrier based in Beijing.
-
E.
UWA
UWA is a leading Australian public research university based in Perth, known for its strong academic programs and sandstone campus.
- 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e51817c8190bff50f2c3b5deea0 |
completed | March 12, 2026, 11:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5964cd0088190a97ca5278046ba7b |
completed | March 14, 2026, 5:09 p.m. |
| NEDg | Description generation | batch_69b596cc2a4c819089e785917cd700f2 |
completed | March 14, 2026, 5:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b59769936081908c42c0006b6ad9c3 |
completed | March 14, 2026, 5:14 p.m. |
Created at: March 12, 2026, 11:04 p.m.