Triple
T2864549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slovenian Armed Forces |
E63406
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SV
SV is the official abbreviation for the Slovenian Armed Forces, the military organization responsible for defending the Republic of Slovenia.
|
E305162
|
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: SV | Statement: [Slovenian Armed Forces, abbreviation, SV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SV Context triple: [Slovenian Armed Forces, abbreviation, SV]
-
A.
SV
SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
-
B.
SV
SV is the commonly used abbreviation for the Faculty of Social Sciences at the University of Oslo, encompassing disciplines such as sociology, political science, economics, and related fields.
-
C.
SR
SR is the two-letter ISO 3166-1 alpha-2 country code assigned to Suriname.
-
D.
SD
SD is the abbreviated name commonly used for the SS Security Service, the intelligence and security agency of Nazi Germany’s Schutzstaffel.
-
E.
SD
SD is the standard abbreviation for the San Diego Padres, a Major League Baseball team based in San Diego, California.
- 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: SV Triple: [Slovenian Armed Forces, abbreviation, SV]
Generated description
SV is the official abbreviation for the Slovenian Armed Forces, the military organization responsible for defending the Republic of Slovenia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SV Target entity description: SV is the official abbreviation for the Slovenian Armed Forces, the military organization responsible for defending the Republic of Slovenia.
-
A.
SV
SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
-
B.
SV
SV is the commonly used abbreviation for the Faculty of Social Sciences at the University of Oslo, encompassing disciplines such as sociology, political science, economics, and related fields.
-
C.
SR
SR is the two-letter ISO 3166-1 alpha-2 country code assigned to Suriname.
-
D.
SD
SD is the standard abbreviation for the San Diego Padres, a Major League Baseball team based in San Diego, California.
-
E.
SD
SD is the commonly used abbreviation for Norway's Ministry of Transport, the government body responsible for national transport policy and infrastructure.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfb853908190aa2fd492e9fa5e87 |
completed | March 7, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01da458ec8190ae07237d7e23b302 |
completed | March 10, 2026, 1:33 p.m. |
| NEDg | Description generation | batch_69b01e45f6e481908665e0961c3a3778 |
completed | March 10, 2026, 1:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0224832108190be252c0245d588d2 |
completed | March 10, 2026, 1:53 p.m. |
Created at: March 6, 2026, 10:02 p.m.