Triple
T11352156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joint Video Team |
E268862
|
entity |
| Predicate | formedBy |
P972
|
FINISHED |
| Object |
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.
|
E920737
|
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: VCEG | Statement: [Joint Video Team, formedBy, VCEG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VCEG Context triple: [Joint Video Team, formedBy, VCEG]
-
A.
VGEG
VGEG is the ICAO airport code for Shah Amanat International Airport in Chittagong, Bangladesh.
-
B.
VEDG
VEDG is the ICAO airport code for Kazi Nazrul Islam Airport serving Durgapur in West Bengal, India.
-
C.
VEBG
VEBG is the ICAO airport code assigned to Balurghat Airport in West Bengal, India.
-
D.
GEC
GEC is the ICAO airline designator used by Lufthansa Cargo, the air freight division of Lufthansa.
-
E.
GECR
GECR is the commonly used abbreviation for Gimnasia y Esgrima de Comodoro Rivadavia, an Argentine sports club best known for its professional basketball team.
- 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: VCEG Triple: [Joint Video Team, formedBy, VCEG]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VCEG Target entity description: 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.
-
A.
VGEG
VGEG is the ICAO airport code for Shah Amanat International Airport in Chittagong, Bangladesh.
-
B.
VEDG
VEDG is the ICAO airport code for Kazi Nazrul Islam Airport serving Durgapur in West Bengal, India.
-
C.
VEBG
VEBG is the ICAO airport code assigned to Balurghat Airport in West Bengal, India.
-
D.
GEC
GEC is the ICAO airline designator used by Lufthansa Cargo, the air freight division of Lufthansa.
-
E.
GECR
GECR is the commonly used abbreviation for Gimnasia y Esgrima de Comodoro Rivadavia, an Argentine sports club best known for its professional basketball team.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea24489081908fbf47fd2e6d709c |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e543a6e97481909dc77a553b217b4d |
completed | April 19, 2026, 9:05 p.m. |
| NEDg | Description generation | batch_69e548bb7be4819093aeeaf0c048033e |
completed | April 19, 2026, 9:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e54efda820819092d6a94fa4fd21f0 |
completed | April 19, 2026, 9:54 p.m. |
Created at: April 8, 2026, 9:33 p.m.