Triple
T7648991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Pristina |
E173196
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
UP
UP is the commonly used abbreviation for the University of Pristina, a major public university in Kosovo.
|
E679369
|
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: UP | Statement: [University of Pristina, hasAbbreviation, UP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UP Context triple: [University of Pristina, hasAbbreviation, UP]
-
A.
UP
UP is the standard reporting mark used to identify rail equipment owned or operated by the Union Pacific Railroad in North America.
-
B.
UP
UP is a leading South African public research university located in Pretoria, known for its comprehensive range of academic programs and strong research output.
-
C.
UP
UP is the Indian state of Uttar Pradesh, the country’s most populous state and a major political and cultural center in northern India.
-
D.
Up
"Up" is a 2021 hip hop single by American rapper Cardi B known for its aggressive delivery, catchy hook, and viral popularity.
-
E.
Up
Up is a critically acclaimed 2009 Pixar animated film that follows an elderly widower and a young boy on a fantastical balloon-lifted house adventure, noted for its emotional depth and imaginative storytelling.
- 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: UP Triple: [University of Pristina, hasAbbreviation, UP]
Generated description
UP is the commonly used abbreviation for the University of Pristina, a major public university in Kosovo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UP Target entity description: UP is the commonly used abbreviation for the University of Pristina, a major public university in Kosovo.
-
A.
UP
UP is the standard reporting mark used to identify rail equipment owned or operated by the Union Pacific Railroad in North America.
-
B.
UP
UP is a leading South African public research university located in Pretoria, known for its comprehensive range of academic programs and strong research output.
-
C.
UP
UP is the Indian state of Uttar Pradesh, the country’s most populous state and a major political and cultural center in northern India.
-
D.
Up
"Up" is a 2021 hip hop single by American rapper Cardi B known for its aggressive delivery, catchy hook, and viral popularity.
-
E.
Up
Up is a critically acclaimed 2009 Pixar animated film that follows an elderly widower and a young boy on a fantastical balloon-lifted house adventure, noted for its emotional depth and imaginative storytelling.
- 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_69c6995473348190a4f41d110d619a18 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701731a288190b53ffc546a2f47d7 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89ada2a54819098672d45ab56f784 |
completed | March 29, 2026, 3:22 a.m. |
| NEDg | Description generation | batch_69c89b7c27988190b78be7f249bda554 |
completed | March 29, 2026, 3:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c89c56d9688190bd14badc319f9c44 |
completed | March 29, 2026, 3:28 a.m. |
Created at: March 27, 2026, 3:58 p.m.