Triple
T16336253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zefiro 23 |
E396685
|
entity |
| Predicate | roleInVega |
P123002
|
FINISHED |
| Object | accelerates vehicle after first-stage P80 |
—
|
LITERAL 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: accelerates vehicle after first-stage P80 | Statement: [Zefiro 23, roleInVega, accelerates vehicle after first-stage P80]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInVega Context triple: [Zefiro 23, roleInVega, accelerates vehicle after first-stage P80]
-
A.
roleInGemini3
Indicates that an entity holds a specific role or function within the Gemini 3 mission or project.
-
B.
roleInCoco
Indicates that an entity serves a specific role or function within the context of the COCO dataset or framework.
-
C.
roleInNebula
Indicates that an entity holds a specific function, position, or involvement within a particular nebula.
-
D.
roleInApollo
Indicates that an entity holds or held a specific role or position within the Apollo program or an Apollo mission.
-
E.
roleInGemini10
Indicates that an entity holds a specific role or position in the context of the Gemini 10 mission or project.
- F. None of above. chosen
Provenance (4 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. |
| PD | Predicate disambiguation | batch_69e226eba9b48190af6e80d3d1c2aed3 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24555bb6c8190977cf5c5f9149056 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:07 a.m.