Triple
T15318059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RNBOU |
E366211
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
NSDCU
NSDCU is an abbreviated designation for an organization or unit referred to by the initials RNBOU.
|
E1149736
|
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: NSDCU | Statement: [RNBOU, hasAbbreviation, NSDCU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NSDCU Context triple: [RNBOU, hasAbbreviation, NSDCU]
-
A.
NSDC
NSDC is Ukraine’s top national security and defense policymaking body that coordinates and oversees the country’s security, military, and strategic interests.
-
B.
NCUC
NCUC is a stakeholder group within ICANN that represents the interests of non-commercial internet users and civil society organizations in global domain name policy development.
-
C.
NSU
NSU is a private research university in Fort Lauderdale, Florida, known for its programs in health professions, law, business, and education.
-
D.
NSU
NSU is a leading Russian research university located in Novosibirsk, known for its strong programs in science, technology, and mathematics.
-
E.
SDUC
SDUC is a high-capacity Secure Digital (SD) memory card specification designed to support very large storage sizes and faster data transfer rates for modern devices.
- 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: NSDCU Triple: [RNBOU, hasAbbreviation, NSDCU]
Generated description
NSDCU is an abbreviated designation for an organization or unit referred to by the initials RNBOU.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NSDCU Target entity description: NSDCU is an abbreviated designation for an organization or unit referred to by the initials RNBOU.
-
A.
NSDC
NSDC is Ukraine’s top national security and defense policymaking body that coordinates and oversees the country’s security, military, and strategic interests.
-
B.
NCUC
NCUC is a stakeholder group within ICANN that represents the interests of non-commercial internet users and civil society organizations in global domain name policy development.
-
C.
NSU
NSU is a leading Russian research university located in Novosibirsk, known for its strong programs in science, technology, and mathematics.
-
D.
NSU
NSU is a private research university in Fort Lauderdale, Florida, known for its programs in health professions, law, business, and education.
-
E.
SDUC
SDUC is a high-capacity Secure Digital (SD) memory card specification designed to support very large storage sizes and faster data transfer rates for modern devices.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dd356b881908f054b64eee6a371 |
completed | April 16, 2026, 1:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8a688a48190848eb7f065aba146 |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fef9cf76cc8190898ea1e648da18ed |
completed | May 9, 2026, 9:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefab2d4cc8190acaa4b6341224633 |
completed | May 9, 2026, 9:13 a.m. |
Created at: April 10, 2026, 3:16 a.m.