Triple
T8414044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ANSI/IEEE 1014 VMEbus |
E198688
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
VITA
VITA is an industry trade association that develops and promotes open standards for embedded computing systems, particularly those based on the VMEbus architecture.
|
E732933
|
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: VITA | Statement: [ANSI/IEEE 1014 VMEbus, abbreviation, VITA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VITA Context triple: [ANSI/IEEE 1014 VMEbus, abbreviation, VITA]
-
A.
Vita
Vita is an American rapper and singer best known for her work with Ja Rule and the Murder Inc. Records collective in the late 1990s and early 2000s.
-
B.
Vitalogy
Vitalogy is Pearl Jam’s critically acclaimed 1994 studio album known for its raw, experimental sound and introspective themes.
-
C.
Vitaflo
Vitaflo is a specialized nutrition brand focused on medical foods and dietary products for people with rare metabolic disorders and other complex health conditions.
-
D.
Vitarte
Vitarte is a district of Lima, Peru, known for its industrial activity and dense urban population.
-
E.
VIV
VIV is the ICAO airline designator assigned to Viva Aerobus, a Mexican low-cost carrier.
- 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: VITA Triple: [ANSI/IEEE 1014 VMEbus, abbreviation, VITA]
Generated description
VITA is an industry trade association that develops and promotes open standards for embedded computing systems, particularly those based on the VMEbus architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VITA Target entity description: VITA is an industry trade association that develops and promotes open standards for embedded computing systems, particularly those based on the VMEbus architecture.
-
A.
Vita
Vita is an American rapper and singer best known for her work with Ja Rule and the Murder Inc. Records collective in the late 1990s and early 2000s.
-
B.
Vitalogy
Vitalogy is Pearl Jam’s critically acclaimed 1994 studio album known for its raw, experimental sound and introspective themes.
-
C.
Vitaflo
Vitaflo is a specialized nutrition brand focused on medical foods and dietary products for people with rare metabolic disorders and other complex health conditions.
-
D.
Vitarte
Vitarte is a district of Lima, Peru, known for its industrial activity and dense urban population.
-
E.
VIV
VIV is the ICAO airline designator assigned to Viva Aerobus, a Mexican low-cost carrier.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e328cc8190b3b038005d0bb66f |
completed | March 31, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce032a25ec819094c6346eb2a7f973 |
completed | April 2, 2026, 5:48 a.m. |
| NEDg | Description generation | batch_69ce0781859c8190bb92f41c00af459b |
completed | April 2, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce089d09c08190ba321aed4044a862 |
completed | April 2, 2026, 6:11 a.m. |
Created at: March 30, 2026, 6:06 p.m.