Triple
T1859497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G3-b |
E41781
|
entity |
| Predicate | hasTypeDesignation |
P16808
|
FINISHED |
| Object | small satellite pyramid |
—
|
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: small satellite pyramid | Statement: [G3-b, hasTypeDesignation, small satellite pyramid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeDesignation Context triple: [G3-b, hasTypeDesignation, small satellite pyramid]
-
A.
hasDesignation
Indicates that an entity holds or is assigned a specific title, label, or formal designation.
-
B.
designatorType
Indicates the specific role or category of a designator used to identify or reference an entity within a system or context.
-
C.
haveType
chosen
Indicates that an entity belongs to or is classified under a specified type or category.
-
D.
hasLetterDesignation
Indicates that an entity is assigned or associated with a specific letter-based designation or code.
-
E.
hasTypeOfInsignia
Indicates that an entity bears or is associated with a specific kind or category of insignia.
- F. None of above.
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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb231de14819091da3a20ed03c430 |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafde4598819099d8229128348fd3 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.