Triple
T18405602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armed Forces of Montenegro |
E450115
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
VCG
VCG is the official abbreviation for the Armed Forces of Montenegro, the military organization responsible for the country's defense and security.
|
E1322312
|
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: VCG | Statement: [Armed Forces of Montenegro, abbreviation, VCG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VCG Context triple: [Armed Forces of Montenegro, abbreviation, VCG]
-
A.
VCK
VCK is a Tamil Nadu–based political party in India known for its advocacy of Dalit rights and social justice.
-
B.
VVCI
VVCI is the ICAO airport code for Cat Bi International Airport in Hai Phong, Vietnam.
-
C.
VCC
VCC is the commonly used abbreviation for the Vieux Carré Commission, the historic preservation agency responsible for protecting the French Quarter in New Orleans.
-
D.
VGC
VGC is a prominent upscale residential and commercial estate located in the Eti-Osa area of Lagos, Nigeria.
-
E.
VCEG
VCEG (Video Coding Experts Group) is an ITU-T working group responsible for developing international video compression standards such as H.261, H.263, and H.264/AVC.
- 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: VCG Triple: [Armed Forces of Montenegro, abbreviation, VCG]
Generated description
VCG is the official abbreviation for the Armed Forces of Montenegro, the military organization responsible for the country's defense and security.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VCG Target entity description: VCG is the official abbreviation for the Armed Forces of Montenegro, the military organization responsible for the country's defense and security.
-
A.
VCK
VCK is a Tamil Nadu–based political party in India known for its advocacy of Dalit rights and social justice.
-
B.
VVCI
VVCI is the ICAO airport code for Cat Bi International Airport in Hai Phong, Vietnam.
-
C.
VCC
VCC is the commonly used abbreviation for the Vieux Carré Commission, the historic preservation agency responsible for protecting the French Quarter in New Orleans.
-
D.
VGC
VGC is a prominent upscale residential and commercial estate located in the Eti-Osa area of Lagos, Nigeria.
-
E.
VCEG
VCEG (Video Coding Experts Group) is an ITU-T working group responsible for developing international video compression standards such as H.261, H.263, and H.264/AVC.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e51957ac7081909a2dd2b2308e4170 |
completed | April 19, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03e2480ec881909d92a2303fc8409f |
completed | May 13, 2026, 2:30 a.m. |
| NEDg | Description generation | batch_6a03e341afa881909fce49af047d0a83 |
completed | May 13, 2026, 2:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03e3ac2f4081908e086f8efd1393ae |
completed | May 13, 2026, 2:36 a.m. |
Created at: April 10, 2026, 10:46 a.m.