Triple
T12466606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazan National Research Technical University |
E297940
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
KNRTU-KAI
KNRTU-KAI is a major Russian technical university in Kazan known for its engineering and aerospace education and research.
|
E984735
|
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: KNRTU-KAI | Statement: [Kazan National Research Technical University, shortName, KNRTU-KAI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KNRTU-KAI Context triple: [Kazan National Research Technical University, shortName, KNRTU-KAI]
-
A.
KNTU
KNTU is the ICAO airport code for Naval Air Station Oceana, a major United States Navy jet base located in Virginia Beach, Virginia.
-
B.
KMTJ
KMTJ is the ICAO airport code for Montrose Regional Airport in Montrose, Colorado, a commercial airport serving the western Colorado region and nearby mountain resort areas.
-
C.
KMTV
KMTV is a local television station where journalist Tom Brokaw began his early broadcasting career.
-
D.
KBS
KBS is South Korea's national public broadcaster, known for its television, radio, and online services.
-
E.
KMSP-TV
KMSP-TV is a Fox-affiliated television station serving the Minneapolis–Saint Paul metropolitan area.
- 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: KNRTU-KAI Triple: [Kazan National Research Technical University, shortName, KNRTU-KAI]
Generated description
KNRTU-KAI is a major Russian technical university in Kazan known for its engineering and aerospace education and research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KNRTU-KAI Target entity description: KNRTU-KAI is a major Russian technical university in Kazan known for its engineering and aerospace education and research.
-
A.
KNTU
KNTU is the ICAO airport code for Naval Air Station Oceana, a major United States Navy jet base located in Virginia Beach, Virginia.
-
B.
KMTJ
KMTJ is the ICAO airport code for Montrose Regional Airport in Montrose, Colorado, a commercial airport serving the western Colorado region and nearby mountain resort areas.
-
C.
KMTV
KMTV is a local television station where journalist Tom Brokaw began his early broadcasting career.
-
D.
KBS
KBS is South Korea's national public broadcaster, known for its television, radio, and online services.
-
E.
KMSP-TV
KMSP-TV is a Fox-affiliated television station serving the Minneapolis–Saint Paul metropolitan area.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94db7828481909d8f02b2fde83567 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f1f44f481909c7efdffd2aeac41 |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f641a309cc8190b2403e62a6acfe58 |
completed | May 2, 2026, 6:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6427c162c8190ae2c027913d43b9e |
completed | May 2, 2026, 6:29 p.m. |
Created at: April 8, 2026, 9:56 p.m.