Triple
T12174899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vega |
E290062
|
entity |
| Predicate | upperStage |
P9657
|
FINISHED |
| Object | AVUM |
E396683
|
NE FINISHED |
How this triple was built (2 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: AVUM | Statement: [Vega, upperStage, AVUM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AVUM Context triple: [Vega, upperStage, AVUM]
-
A.
AVUM
chosen
AVUM is the liquid-propellant upper stage of the European Vega small-lift launch vehicle, responsible for precise orbital insertion and mission completion.
-
B.
ÁVH
ÁVH was the secret police and state security organization of communist Hungary, notorious for its role in political repression and surveillance during the early Cold War era.
-
C.
Vuse
Vuse is an electronic cigarette and vaping product brand owned by British American Tobacco, known for its range of nicotine e-liquids and devices.
-
D.
Avgo
Avgo is a notable summit of Mount Pangaion in northern Greece, known for its rugged terrain and scenic views.
-
E.
UMA
UMA is a regional public university in Augusta, Maine, offering a range of undergraduate and professional programs with a focus on accessibility and nontraditional students.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915dc71788190bdaadf7be9d8d6ce |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a9482481909500c216f23fceb4 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.