Triple
T16336185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AVUM |
E396683
|
entity |
| Predicate | separationFrom |
P243
|
FINISHED |
| Object | Zefiro 9 |
E398731
|
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: Zefiro 9 | Statement: [AVUM, separationFrom, Zefiro 9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zefiro 9 Context triple: [AVUM, separationFrom, Zefiro 9]
-
A.
Zefiro 9
chosen
Zefiro 9 is a solid-propellant upper-stage rocket motor used as the third stage of the European Vega small-lift launch vehicle.
-
B.
Zefiro 23
Zefiro 23 is a solid-propellant second-stage rocket motor used in the European Vega small-lift launch vehicle.
-
C.
Fizir F9
The Fizir F9 is a Yugoslav-era light aircraft developed by noted Croatian aircraft designer Rudolf Fizir, known for his series of training and sport airplanes in the early 20th century.
-
D.
Fezco
Fezco is a soft-spoken teenage drug dealer and loyal friend character from the television series "Euphoria."
-
E.
Ferno
Ferno is a small municipality in the Lombardy region of northern Italy, situated in the province of Varese.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e3af7881908a3116c41ed69115 |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0026193a3c81909c640426ab798c1c |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:07 a.m.