Triple
T16950565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Security Service of Ukraine |
E411169
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
SBU
SBU is the main domestic security and intelligence agency of Ukraine, responsible for counterintelligence, counterterrorism, and protecting state secrets.
|
E1241018
|
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: SBU | Statement: [Security Service of Ukraine, shortName, SBU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SBU Context triple: [Security Service of Ukraine, shortName, SBU]
-
A.
SBU
SBU is a major public research university in Tehran, Iran, known for its strong programs in engineering, humanities, and social sciences.
-
B.
SBU
SBU is the abbreviation for the Special Boarding Unit, an elite maritime special operations force of the Indian Navy.
-
C.
SBU
SBU is a major public research university located on Long Island, New York, known for its strong science, engineering, and medical programs.
-
D.
UNY
UNY is an Indonesian public university in Yogyakarta known for its strong focus on teacher education and educational sciences.
-
E.
Syracuse University
Syracuse University is a private research university in Syracuse, New York, known for its strong programs in communications, public affairs, and law.
- 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: SBU Triple: [Security Service of Ukraine, shortName, SBU]
Generated description
SBU is the main domestic security and intelligence agency of Ukraine, responsible for counterintelligence, counterterrorism, and protecting state secrets.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SBU Target entity description: SBU is the main domestic security and intelligence agency of Ukraine, responsible for counterintelligence, counterterrorism, and protecting state secrets.
-
A.
SBU
SBU is a major public research university in Tehran, Iran, known for its strong programs in engineering, humanities, and social sciences.
-
B.
SBU
SBU is the abbreviation for the Special Boarding Unit, an elite maritime special operations force of the Indian Navy.
-
C.
SBU
SBU is a major public research university located on Long Island, New York, known for its strong science, engineering, and medical programs.
-
D.
UNY
UNY is an Indonesian public university in Yogyakarta known for its strong focus on teacher education and educational sciences.
-
E.
Syracuse University
Syracuse University is a private research university in Syracuse, New York, known for its strong programs in communications, public affairs, and law.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfb6e5fc8190b1bd3ad1c2773685 |
completed | April 18, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cff033ec8190b927c0f3da0b321b |
completed | May 10, 2026, 6:35 p.m. |
| NEDg | Description generation | batch_6a00d0780bd881909a9c820625cda9c3 |
completed | May 10, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d1366f4c8190b5627f67402d96a0 |
completed | May 10, 2026, 6:40 p.m. |
Created at: April 10, 2026, 5:31 a.m.