Triple
T6936794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Physics, Astronomy and Applied Computer Science |
E160572
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
FAIS UJ
FAIS UJ is a faculty of the Jagiellonian University in Kraków specializing in physics, astronomy, and applied computer science.
|
E629302
|
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: FAIS UJ | Statement: [Faculty of Physics, Astronomy and Applied Computer Science, alsoKnownAs, FAIS UJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FAIS UJ Context triple: [Faculty of Physics, Astronomy and Applied Computer Science, alsoKnownAs, FAIS UJ]
-
A.
UJ
UJ is a major public university in Johannesburg, South Africa, known for its diverse academic programs and strong focus on research and innovation.
-
B.
UJE
UJE is the IATA airport code for the airstrip serving Ujae Atoll in the Marshall Islands.
-
C.
FAJS
FAJS is the former ICAO airport code that was used to identify O. R. Tambo International Airport in Johannesburg, South Africa.
-
D.
FUIW
FUIW is an international organization that brings together universities and higher education institutions from Islamic countries to promote cooperation in education, science, and culture.
-
E.
FIAS
FIAS is the international governing body responsible for overseeing and promoting the combat sport of sambo worldwide.
- 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: FAIS UJ Triple: [Faculty of Physics, Astronomy and Applied Computer Science, alsoKnownAs, FAIS UJ]
Generated description
FAIS UJ is a faculty of the Jagiellonian University in Kraków specializing in physics, astronomy, and applied computer science.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FAIS UJ Target entity description: FAIS UJ is a faculty of the Jagiellonian University in Kraków specializing in physics, astronomy, and applied computer science.
-
A.
UJ
UJ is a major public university in Johannesburg, South Africa, known for its diverse academic programs and strong focus on research and innovation.
-
B.
UJE
UJE is the IATA airport code for the airstrip serving Ujae Atoll in the Marshall Islands.
-
C.
FAJS
FAJS is the former ICAO airport code that was used to identify O. R. Tambo International Airport in Johannesburg, South Africa.
-
D.
FUIW
FUIW is an international organization that brings together universities and higher education institutions from Islamic countries to promote cooperation in education, science, and culture.
-
E.
FIAS
FIAS is the international governing body responsible for overseeing and promoting the combat sport of sambo worldwide.
- 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_69c6884e15208190b9e91487eaafcf85 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da5eacd8819083252aa1a42d2a5d |
completed | March 27, 2026, 7:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75151d5e48190b2389ae9049d1454 |
completed | March 28, 2026, 3:56 a.m. |
| NEDg | Description generation | batch_69c752ab5f648190b7899ae2ebfc5a7d |
completed | March 28, 2026, 4:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c753954df88190a22fe591d915d060 |
completed | March 28, 2026, 4:05 a.m. |
Created at: March 27, 2026, 2:27 p.m.